Published 2026-08-27
Keywords
- V2X,
- 3D object detection,
- visual SLAM,
- traffic control,
- driving behavior
- spatiotemporal perception ...More
How to Cite
Copyright (c) 2026 Spectrum of Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
This paper develops a cooperative mobility architecture that combines V2X perception, visual localization, driving behavior, traffic control, and uncertainty-aware risk assessment for changing road environments. The work is motivated by a cross-domain synthesis of 156 supplied studies and is organized around a deployment question rather than a single leaderboard claim. We define a problem formulation, separate representation, adaptation, decision, and assurance layers, and specify a reproducible comparison protocol. The manuscript includes a literature evidence map, a system architecture figure, and qualitative comparison tables. Because no raw dataset or verified experimental log was provided, the tables and figures describe framework structure and evidence requirements rather than invented performance results. The proposed protocol can be instantiated on a real dataset by fixing a data contract, an evaluation split, resource constraints, and a human-review policy. The resulting design is intended to support an auditable EI-style conference submission while keeping factual claims bounded by the supplied bibliography.
References
- [1] Sun, M., & Wang, H. (2025). AI-powered customer engagement sequence analysis and conversion funnel optimization in multi-channel e-commerce marketing. Journal of Industrial Engineering and Applied Science, 3(5), 7–20
- [2] Chen, Y. (2024). Explainable Attack Path Reasoning for Industrial Control Network Security Based on Knowledge Graphs. Journal of Computing Innovations and Applications 2 (1), 128-139
- [3] Comparing Imbalanced-Data Handling Strategies for Customer-Support Ticket Text ClassificationAn Empirical Study of Robustness Across Imbalance Ratios Revised as: Comparing Concept-Drift Detection Strategies for Financial Fraud Detection: A Controlled Simulation Study of Detection Latency, False Alarms, and Recovery Across Drift Regimes
- [4] Does an LLM-Based Feedback Agent Move the Needle? An Empirical Study of Student Correctness and Hint Dependency on the ASSISTments 2017 Interaction Logs
- [5] Search-Term Governance Under Broad-Match Automation: A Comparative Evaluation of AI-Assisted Keyword Decision Approaches
- [6] Li, Y. & Fu, H. (2026). Interpretable Gradient Boosting for Transmission Capital Expenditure Deviation: A Multi-Decade Benchmark on FERC-Regulated Utilities. Academia Nexus Journal 5 (2)
- [7] Comparing Unsupervised Spatial Grouping and Supervised Risk Ranking for County-Level Measles Susceptibility Stratification under Uneven Childhood Immunization Coverage
- [8] Yuan, D. & Zhang, D. (2025). APAC-sensitive anomaly detection: Culturally-aware AI models for enhanced AML in US securities trading. 2025 International Conference on Computer, AI, Systems and Automation, 108-121
- [9] Comparing Adjacency-List, Edge-List, and Motif-Summary Prompts for Zero-Shot Illicit-Transaction Screening on Elliptic
- [10] An Empirical Comparison of XGBoost and LightGBM for Capital Expenditure Deviation Prediction in U.S. FERC-Regulated Rate-Base Transmission Projects
- [11] Interpretable Gradient Boosting for Transmission Capital Expenditure Deviation: A Multi-Decade Benchmark on FERC-Regulated Utilities
- [12] Rao, G., Zheng, S., & Guo, L. (2025). Dynamic Reinforcement Learning for Suspicious Fund Flow Detection: A Multi-layer Transaction Network Approach with Adaptive Strategy Optimization.
- [13] Dong, B., Zhang, D., & Xin, J. (2024). Deep reinforcement learning for optimizing order book imbalance-based high-frequency trading strategies. Journal of Computing Innovations and Applications 2 (2), 33-43
- [14] Li, Y., Zhang, X., & Hao, C. (2026). Graph Neural Network-Based Cross-Market Risk Contagion Analysis between US Equity Sectors and Treasury Yields during the 2023 Regional Banking Stress. 2026 2nd International Conference on Digital Intelligence and Computing …
- [15] An Empirical Analysis of Click Temporal Features for Automated Ad Fraud Detection in Mobile In-App Browser Environments
- [16] Does Exit-Timing Flexibility Pay An Empirical Least-Squares Monte Carlo Assessment of Equity Divestment Timing for Utility-Scale Solar in the PJM Market
- [17] An Empirical Comparison of Heuristic and Neural Session-Based Recommendation Methods under Sparse Click-Stream Cold-Start Conditions
- [18] Wang, Z., & Kang, A. (2025). FTAFO: A Federated Transparent Adaptive Financial Optimizer for Reducing Third-Party Dependencies in Workflow Management. Journal of Science, Innovation & Social Impact, 1(1), 329-339.
- [19] Enhancing Credit Decision Transparency for Small Business Owners: An Explainable AI Approach to Mitigate Algorithmic Bias in Micro-lending
- [20] Cao, H. & Long, L. (2026). Empirical Evaluation of Multi-Source Monitoring Signal Effectiveness and Lead Time for Performance Degradation Prediction in Kubernetes-Based Microservices. Vol. 6(4), pp. 15-26, April 2026 6 (4), 15-26
- [21] Concept-Drift Detection for Systemic-Risk Early Warning: A Comparative Evaluation of Regime-Conditional Adaptive Thresholding under Distribution Shifts in Financial Stress Indices
- [22] Empirical Evaluation of Constraint Discovery Techniques for Business Logic Consistency Verification in Payroll Data Migration
- [23] Feature Weight Optimization in Machine Learning Classifiers for Conflict Escalation Early Warning: Evidence from Diplomatic Signals and News Text
- [24] A Comparative Evaluation of Class Imbalance Handling Techniques for Credit Card Fraud Detection
- [25] Li, Y. & Fu, X. (2026). Comparative Evaluation of Graph Neural Networks for Cross-Market Risk Contagion Path Identification in Multi-Layer Financial Networks. 2026 2nd International Conference on ArtificialIntelligence and Advanced …
- [26] Liu, W., Rao, G., & Lian, H. (2023). Anomaly Pattern Recognition and Risk Control in High-Frequency Trading Using Reinforcement Learning. Journal of Computing Innovations and Applications, 1(2), 47-58.
- [27] Yang, H. & Finkelstein, J. (2025). Unveiling Pharmacogenomic Patterns in Breast Cancer Through Big Data. Medinfo 2025-Healthcare Smart x Medicine Deep: Proceedings of the 20th World …
- [28] Evaluating the Impact of Data Augmentation Techniques on Few-Shot Image Classification Performance
- [29] Guo, Y. & Wei, C. (2026). Latency-adaptive feature fusion weight allocation under bandwidth constraints for V2X cooperative 3D object detection. Journal of Advanced Computing Systems 6 (3), 22-31
- [30] An Empirical Comparison of Missing Value Imputation Methods for Alzheimer's Disease Cognitive Assessments and Their Downstream Impact on Diagnostic Classification
- [31] Li, Y. & Zhang, S. (2025). Machine Learning-Based Credit Risk Early Warning System for Small and Medium-Sized Financial Institutions: An Ensemble Learning Approach with Interpretable Risk Indicators. Journal of Science, Innovation & Social Impact 1 (1), 372-383
- [32] Adaptive UV-C LED Dosage Prediction and Optimization Using Neural Networks Under Variable Environmental Conditions in Healthcare Settings
- [33] A Comparative Network-Centrality, Community-Detection, and Cascade-Simulation Analysis of Disruption Propagation and Concentrated Vulnerability in a Real Inter-Sectoral Supply Network
- [34] Min, S. & Wei, C. (2023). Comparative analysis of filter-based feature selection methods for high-dimensional data in classification tasks. Journal of Advanced Computing Systems 3 (8), 25-38
- [35] Kang, A., Xin, J., & Ma, X. (2024). Anomalous cross-border capital flow patterns and their implications for national economic security: An empirical analysis. Journal of Advanced Computing Systems, 4(5), 42-54.
- [36] A Controlled Comparison of Data-Augmentation Strategies for Surface-EMG Hand-Gesture Recognition under Small-Sample Conditions
- [37] Wei, C. & Wu, C. (2024). Credit risk transmission mechanism and prevention strategies in supply chain finance: A core enterprise perspective. Artificial Intelligence and Machine Learning Review 5 (2), 101-115
- [38] Position Bias and Verbosity Bias in LLM-as-a-Judge: An Empirical Cross-Benchmark Comparison
- [39] Can Zero-Shot Prompting Classify Risky Bitcoin Transactions from Compact One-Hop Narratives? A Small-Scale Exploratory Study
- [40] Rao, G., Lu, T., Yan, L., & Liu, Y. (2024). A Hybrid LSTM-KNN Framework for Detecting Market Microstructure Anomalies: Evidence from High-Frequency Jump Behaviors in Credit Default Swap Markets. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(4), 361-371.
- [41] Chen, Y. & Chen, Z. (2025). Multi-Objective Deep Reinforcement Learning for Carbon-Aware Spatiotemporal Workload Scheduling in Geo-Distributed Data Centers. Journal of Advanced Computing Systems 5 (10), 18-30
- [42] Wang, H. & Sun, Y. (2026). An Empirical Analysis of the Temperature Hyperparameter in Knowledge Distillation for Image Classification Student Networks. Journal of Innovative Technologies 2 (1)
- [43] AI-Enabled Cultural Feature Recognition and Cross-Cultural Comparison in Historic Architecture
- [44] Chen, Y. & Hu, J. (2026). Graph Neural Network-Based Cascading Disruption Path Identification in Multi-Tier Rare Earth Processing Networks. Journal of Global Engineering Review 4 (1), 99-112
- [45] Quantifying the Throughput–Tail-Latency Trade-off of Continuous Batching and Chunked-Prefill Scheduling under Production LLM Traces: An Empirical Comparison
- [46] Quantifying Risk-Factor Attribution in Utility-Scale Power-Project Returns: A SHAP-Based Comparative Study of Ensemble Learners for Unlevered-IRR Distribution Prediction
- [47] Cao, H., Hu, J., & Luo, C. (2025). Behavioural Feature Analysis for Anomalous Click Detection in Mobile Advertising Environments: Toward In-App Browser-Specific Detection. COMPUTING INNOVATIONS AND APPLICATIONS ISSN: 3068-5516 3 (2), 96-105
- [48] Graph Neural Network–Based Cross-Market Risk Contagion Analysis between U.S. Equity Sectors and Treasury Yields during the 2023 Regional Banking Stress
- [49] Wu, Z., Feng, Z., & Dong, B. (2024). Optimal feature selection for market risk assessment: A dimensional reduction approach in quantitative finance. Journal of Computing Innovations and Applications 2 (1), 20-31
- [50] Comparative Analysis of AI-Driven Risk Prediction Methods in Retail Supply Chain Disruption Management: A Multi-Enterprise Study
- [51] Zhang, Z. & Wu, Z. (2023). Context-aware feature selection for user behavior analytics in zero-trust environments. Journal of Advanced Computing Systems 3 (5), 21-33
- [52] H Lian, X Wang, C Zhang - Academia Nexus Journal, 2025 - academianexusjournal.com。 AI-Powered Anomaly Detection in Cloud Environments: A Lightweight Security Framework under Zero Trust Architecture
- [53] Zhang, D. & Zheng, Q. (2025). Machine Learning-Based Building Energy Consumption Prediction and Carbon Reduction Potential Assessment in US Metropolitan Areas. Journal of Industrial Engineering and Applied Science 3 (5), 27-40
- [54] AI-Assisted Disclosure Analysis of EDPR’s Onshore Wind Asset Rotation
- [55] Comparative Empirical Evaluation of Prompting Strategies for Large-Language-Model Web-Navigation Agents on the WebArena Benchmark
- [56] A Comparative Evaluation of Loss Reweighting and Neighborhood Resampling for Rare-Event Risk Node Detection in Financial Graphs
- [57] Cao, H. & Shi, W. (2026). Statistical Anomaly Detection Approach for Field Mapping Validation in Enterprise Payroll Data Migration. COMPUTING INNOVATIONS AND APPLICATIONS ISSN: 3068-5516 4 (1), 137-153
- [58] Weng, H., Zhang, S., & Min, S. (2024). Multi-constraint optimization for real-time bidding: A reinforcement learning approach. Artificial Intelligence and Machine Learning Review, 5(1), 93–104
- [59] Rao, G., Ju, C., & Feng, Z. (2024). AI-driven identification of critical dependencies in US-China technology supply chains: Implications for economic security policy. Journal of Advanced Computing Systems, 4(12), 43-57.
- [60] Cao, H. & Yu, M. (2026). Do Neighborhood-Aggregated Features Improve Gradient Boosting for Node-Level Fraud Detection? An Empirical Study on Two Multi-Relational Graphs. Journal of Selected Topics in Academic Research 2 (1)
- [61] Rao, G., Wang, Z., & Liang, J. (2025). Reinforcement learning for pattern recognition in cross-border financial transaction anomalies: A behavioral economics approach to AML. Applied and Computational Engineering, 142(1), 116-127.
- [62] A Comparative Evaluation of Post-hoc Explainability Methods for Graph Neural Networks in Node Classification
- [63] Weng, H., Wang, H. & Wei, C. (2024). Adaptive bidding strategies for hybrid auction mechanisms in programmatic advertising. Journal of Advanced Computing Systems 4 (4), 13-25
- [64] Xu, S. (2025). Intelligent optimization algorithm for chain restaurant spatial layout based on generative adversarial networks. Journal of Industrial Engineering and Applied Science, 3(3), 32–41
- [65] Cao, H. (2024). Detecting Fraudulent Click Patterns in Mobile In-App Browsers: A Multi-dimensional Behavioral Analysis Approach. The Artificial Intelligence and Machine Learning Review 5 (2), 130-142
- [66] Xiong, K., Wu, Z., & Jia, X. (2025). Deepcontainer: a deep learning-based framework for real-time anomaly detection in cloud-native container environments. Journal of Advanced Computing Systems 5 (1), 1-17
- [67] Wei, C. & Guan, H. (2024). Privacy-preserving federated learning in medical AI: A systematic review of techniques, challenges, and the clinical deployment gap. Artificial Intelligence and Machine Learning Review 5 (3), 124-135
- [68] Deng, M., Fu, H., & Sun, Y. (2026). Incremental Contribution of Linguistic, Behavioral, and Propagation Signals to Early Detection of LLM-Generated Coordinated Inauthentic Campaigns. Spectrum of Research 6 (1)
- [69] Research on AI-Driven Personalized Web Interface Adaptation Strategies and User Satisfaction Evaluation
- [70] Zhenghao, P. (2025). A reinforcement learning approach for adaptive budget allocation in pharmaceutical digital marketing: Maximizing roi across patient journey touchpoints. Journal of Sustainability, Policy, and Practice, 1(4), 1–15
- [71] A Comparative Study of Spatiotemporal Clustering and Classification Approaches for Security Incident Risk Assessment in UN Peacekeeping Operations
- [72] Kang, A., & Ma, X. (2025, July). AI-Based Pattern Recognition and Characteristic Analysis of Cross-Border Money Laundering Behaviors in Digital Currency Transactions. In 2025 International Conference on Digital Intelligence and Computing Technologies (pp. 1-19). Pinnacle Academic Press.
- [73] Multi-Horizon Financial Crisis Detection Through Adaptive Data Fusion
- [74] Profile Verbalization for Interaction-Free Cold-Start Recommendation: A Cross-Domain Empirical Evaluation
- [75] P Li, W Liu, Q Zheng - Spectrum of Research, 2024 - spectrumofresearch.com。 An Empirical Study on the Quality Assessment of Code Comments Generated by Large Language Models for Different Programming Paradigms
- [76] Chen, Y., Chen, Z., & Zou, D. (2025). CarbonShift: Harnessing Grid Carbon Variability for Geo-Distributed Workload Scheduling. Artificial Intelligence and Machine Learning Review 6 (4), 18-31
- [77] Comparative Empirical Evaluation of Monte Carlo Dropout Uncertainty Measures for Failure Capture and Referral Trade-offs in Chest X-ray Disease Detection
- [78] Sun, Y. & Tang, R. (2026). A Comparative Evaluation of Post-hoc Explainability Methods for Graph Neural Networks in Node Classification. Journal of Innovative Technologies 2 (2)
- [79] Li, Y. & Mo, Z. (2026). Backtesting Value-at-Risk and Expected Shortfall Across Calm and Turbulent Markets: An Empirical Comparison of Historical Simulation, GARCH-Family, Filtered Historical …. Annals of Applied Sciences 7 (1)
- [80] Ge, L., & Rao, G. (2025, July). MultiStream-FinBERT: A Hybrid Deep Learning Framework for Corporate Financial Distress Prediction Integrating Accounting Metrics, Market Signals, and Textual Disclosures. In 2025 International Forum on Computing and Intelligent Systems (pp. 107-122). Pinnacle Academic Press.
- [81] Wu, Z., Cheng, C., & Zhang, C. (2025). Cloud-Enabled AI Analytics for Urban Green Space Optimization: Enhancing Microclimate Benefits in High-Density Urban Areas. 2025 International Forum on Computing and Intelligent Systems, 123-133
- [82] Static Structure versus Edge-Order Representation for Drive-by-Download Detection in Linux Audit Graphs: A Reproducible Evaluation
- [83] Kang, A., Li, C., & Meng, S. (2025). The Impact of Government Budget Data Visualization on Public Financial Literacy and Civic Engagement. Journal of Economic Theory and Business Management, 2(4), 1-16.
- [84] Z Feng, D Zhang, Y Wang - Artificial Intelligence and Machine Learning Review, 2024。 Intraday Liquidity Patterns and Their Implications for Market Risk Assessment: Evidence from Global Equity Markets
- [85] Comparative Analysis of Deep Learning Algorithms for Disease-Related Protein Function Prediction: Performance Optimization and Computational Efficiency Evaluation
- [86] Ju, C., & Rao, G. (2025, May). Analyzing foreign investment patterns in the US semiconductor value chain using AI-enabled analytics: A framework for economic security. In 2025 International Conference on Computer, AI, Systems and Automation (pp. 60-74). Pinnacle Academic Press.
- [87] A Comparative Empirical Study of Machine Learning Methods for Credit Card Fraud Detection: Gradient Boosting, Deep Tabular Learning, and Classical Baselines Under Extreme Class Imbalance
- [88] An Empirical Comparative Study of LoRA Fine-Tuning Hyperparameter Configurations on the GLUE Benchmark
- [89] Machine Learning for Real-time Optimization of Bioprocessing Parameters:Applications and Improvements
- [90] Statistical, Tree-Ensemble, and Neural Methods for Electricity CustomerBehavior Analysis: A Comparative Evaluation across Load-ShapeSegmentation, Multi-Horizon Forecasting, and Theft Detection
- [91] Yiyi, C. (2025). Federated learning-based framework for privacy-protected cross-border financial risk evaluation: Analyzing US-asia investment flows. Journal of Sustainability, Policy, and Practice, 1(4), 50–65
- [92] Tension Among Fairness Metrics and the Effectiveness of Pre-, In-, and Post-Processing Bias Mitigation: An Empirical Comparison on Public Credit Data
- [93] J Xin, H Wang - Academia Nexus Journal, 2024 - academianexusjournal.com。 Research on Test Data Quality Assessment and Outlier Processing Methods in Semiconductor Chip Manufacturing Process
- [94] Zhang, D. & Zhang, F. (2025). AI-Assisted Identification and Equity Assessment of Vulnerable Population Impacts in US Energy Transition. Journal of Advanced Computing Systems 5 (7), 1-17
- [95] Lightweight Neural Networks with Attention Mechanism for Loop Closure Detection in Visual SLAM
- [96] Chen, Y. & Lai, J. (2026). Multi-Metric Trustworthiness Evaluation of AI-Assisted Medical Imaging Diagnosis: Integrating Confidence Calibration and Distribution Shift Detection. Journal of Global Engineering Review 4 (1), 113-126
- [97] Research on Driving Behavior Risk Identification and Safety Assessment Methods Based on Artificial Intelligence
- [98] Financing Date Uncertainty and Liquidity Forecasts for Utility-Scale Solar Projects
- [99] Li, Y. & Ling, Z. (2026). Real-Time Multi-Risk Early Warning for Community Banks: An Application of Ensemble Anomaly Detection and Explainable Artificial Intelligence. Journal of Advanced Computing Systems 6 (2), 15-27
- [100] Trinh, TK. & Zhang, D. (2024). Algorithmic fairness in financial decision-making: Detection and mitigation of bias in credit scoring applications. Journal of Advanced Computing Systems 4 (2), 36-49
- [101] Weng, H., & Li, X. (2024). Renewable-aware cooperative scheduling for distributed AI training across geo-distributed data centers. Artificial Intelligence and Machine Learning Review, 5(2), 91–100
- [102] Y Li, S Fan, H Wang - Spectrum of Research, 2025 - spectrumofresearch.com。 Machine Learning-Based Identification of Anomalous Trading Behavior Patterns Among Asia-Pacific Investors in U.S. Securities Markets
- [103] Wu, Z., Wang, S., Ni, C., & Wu, J. (2024). Adaptive traffic signal timing optimization using deep reinforcement learning in urban networks. Artificial Intelligence and Machine Learning Review 5 (4), 55-68
- [104] Li, Y., Zhao, F., & Hu, J. (2026). Identifying Cross-Market Risk Contagion Amplifiers via Graph Attention Networks: Empirical Evidence from US Financial Stress Periods. Journal of Computing Innovations and Applications 4 (1), 164-175
- [105] Zhang, D. & Wang, Y. (2025). AI-driven quality assessment and investment risk identification for carbon credit projects in developing countries. 2025 International Forum on Computing and Intelligent Systems, 76-92
- [106] Cloud-based Data Mining for Cancer Drug Synergy Analysis: Applications in Non-small Cell Lung Cancer Treatment
- [107] Cao, H. (2024). Privacy-Preserving Click Pattern Anomaly Detection for Mobile In-App Browser Advertising Fraud. COMPUTING INNOVATIONS AND APPLICATIONS ISSN: 3068-5516 2 (2), 151-161
- [108] How Much Transaction Structure Should an LLM See? Zero- and Few-Shot Evaluation of Local Transaction-Network Summaries for Money-Laundering Transaction Classification
- [109] A Comparative Evaluation of Rejection Inference Corrections for Credit Card Acquisition Screening: Inverse Probability Weighting, Hard-Cutoff Augmentation, and Semi-Supervised Estimation Revised as: A Comparative Evaluation of Rejection Inference Methods for Credit Application Screening: Inverse Probability Weighting, Hard-Cutoff Augmentation, and Semi-Supervised Self-Training
- [110] Artificial Intelligence-Driven Drug Repurposing for Neurodegenerative Diseases: A Computational Analysis and Prediction Study
- [111] Multi-Dimensional Training Data Bias Detection and Fairness-Aware Augmentation for Equitable AI-Assisted Medical Imaging Diagnosis
- [112] Zhang, D. & Feng, E. (2024). Quantitative Assessment of Regional Carbon Neutrality Policy Synergies Based on Deep Learning. Journal of Advanced Computing Systems 4 (10), 38-54
- [113] Li, Y. (2026). Enhancing Financial Compliance Transparency through Automated Data Governance and Intelligent Risk Reporting. Journal of Science, Innovation & Social Impact 2 (1), 299-313
- [114] An Empirical Comparison of Representation-Learning Clustering and Causal Effect Estimation for Electricity Customer Segmentation and Demand Response Targeting
- [115] Chen, Y. (2026). Comparing Prompting Strategies and Backbone Choices for LLM Agents on Tabular Credit-Card Fraud Detection: An Empirical Study. Journal of Innovative Technologies 2 (1)
- [116] Li, Y. & Long, L. (2026). Lightweight AI-Driven Stress Testing for Small and Medium Financial Institutions: A Variational Autoencoder Approach with Extreme Value Theory for Macroeconomic Scenario Generation. Artificial Intelligence and Machine Learning Review 7 (1), 108-119
- [117] Kang, A., Min, S., & Yuan, D. (2024). Comparative Analysis of Foreign Exchange Market Shock Transmission and Recovery Resilience Among Major Economies Under Geopolitical Conflicts: Evidence from the Russia-Ukraine Crisis. Journal of Computing Innovations and Applications, 2(1), 46-61.
- [118] Kang, A., Li, Z., & Meng, S. (2023). AI-Enhanced Risk Identification and Intelligence Sharing Framework for Anti-Money Laundering in Cross-Border Income Swap Transactions. Journal of Advanced Computing Systems, 3(5), 34-47.
- [119] Guo, X. & Sun, Y. (2026). An Empirical Comparison of Representation-Learning Clustering and Causal Effect Estimation for Electricity Customer Segmentation and Demand Response Targeting. Journal of Selected Topics in Academic Research 2 (1)
- [120] G Weng, L Yu, L Guo - Spectrum of Research, 2025 - spectrumofresearch.com。 Comparative Study of Machine Learning Approaches for Predicting Cardiotoxicity of Anticancer Drugs
- [121] Wu, Z., Zhang, Z., Zhao, Q., & Yan, L. (2025). Privacy-preserving financial transaction pattern recognition: A differential privacy approach. Preprints
- [122] Benchmarking KV-Cache Management and Chunked-Prefill Scheduling across Mainstream LLM Inference Engines under Production Traces
- [123] Gradient-Boosted Trees Versus Classical Time-Series Baselines for 7- to 28-Day-Ahead Emergency-Department Respiratory Visit Pressure During Viral Co-Circulation: A County-Level Comparative Evaluation
- [124] Tian, Y., Pan, H., & Sun, Y. (2026). A Comparative Network-Centrality, Community-Detection, and Cascade-Simulation Analysis of Disruption Propagation and Concentrated Vulnerability in a Real Inter-Sectoral Supply …. Journal of Selected Topics in Academic Research 2 (1)
- [125] Wei, C. & Pan, Z. (2026). Accelerating clinical trial recruitment through automated eligibility screening with multi-modal deep learning. Journal of Computing Innovations and Applications 4 (1), 1-11
- [126] Fairness-Aware Credit Risk Assessment Using Alternative Data: An Explainable AI Approach for Bias Detection and Mitigation
- [127] Zhang, F., Ye, H. & Wei, C. (2024). Leveraging multi-modal attention mechanisms for interpretable biomarker discovery and early disease prediction. Journal of Computing Innovations and Applications 2 (2), 111-121
- [128] M Sun - Spectrum of Research, 2025 - spectrumofresearch.com。 AI-Driven Cross-Cultural Consumer Purchase Intention Prediction Methods for E-commerce Platforms: An Applied Research Approach
- [129] Evaluating Tool Selection and Usage Efficiency of LLM-based Agents in Domain-Specific Tasks: A Comparative Analysis
- [130] Chen, Y. (2026). Comparing prompting strategies and backbone choices for LLM agents on tabular credit-card fraud detection: An empirical study. Artificial Intelligence and Machine Learning Review, 7(3), 1–11
- [131] Alert Fatigue Mitigation in Anomaly Detection Systems: A Comparative Study of Threshold Optimization and Alert Aggregation Strategies
- [132] Yang, H. & Finkelstein, J. (2025). Using Big Data to Uncover Drug-Gene Interaction in Patients with Prostate Cancer. Envisioning the Future of Health Informatics and Digital Health, 131-135
- [133] Kang, A., & Yu, K. (2025). The Impact of Financial Data Visualization Techniques on Enhancing Budget Transparency in Local Government Decision-Making. Spectrum of Research, 5(2).
- [134] Li, Y. & Mo, Z. (2026). Does a Predicted 0.9 Mean 90 Percent? A Comparative Evaluation of Post-hoc Probability Calibration Methods for Default-Probability Scoring under Class Imbalance. Academia Nexus Journal 5 (2)
- [135] Z Feng, C Ni, S Zhou - Spectrum of Research, 2025 - spectrumofresearch.com。 Option-Implied Information for Forward-Looking Market Risk Assessment: Evidence from Commodity Derivatives Markets
- [136] Chen, Y. & Tang, T. (2026). Evaluating Prompt Engineering Strategies for Few-Shot Cyber Threat Intelligence Entity and Relation Extraction from Multi-Source Reports. Journal of Science, Innovation & Social Impact 2 (2), 153-164
- [137] Wu, Z., Feng, E., & Zhang, Z. (2024). Temporal-Contextual Behavioral Analytics for Proactive Cloud Security Threat Detection. Academia Nexus Journal 3 (2)
- [138] AI-Driven Reliability Algorithms for Medical LED Devices: A Research Roadmap
- [139] Rao, G., Trinh, T. K., Chen, Y., Shu, M., & Zheng, S. (2024). Jump prediction in systemically important financial institutions' CDS prices. Spectrum of Research, 4(2).
- [140] Zhang, D. & Ma, X. (2025). Machine Learning-Based Credit Risk Assessment for Green Bonds: Climate Factor Integration and Default Prediction Analysis. Journal of Sustainability, Policy, and Practice 1 (2), 121-135
- [141] Comparative Evaluation of Feature Extraction Techniques in Margin Call Cascade Detection: Balancing Accuracy and False Alarm Rates
- [142] Spectral Graph Decomposition for Parameter Coordination in Multi-Task LoRA Adaptation
- [143] Road-Geometry, Scenario-Diversity, and Failure-History Prioritization for BeamNG Lane-Keeping Simulation Regression Tests under Fixed Simulation-Time Budgets: An Empirical Comparison
- [144] A Comparative Analysis of Attention Mechanisms in Vision Transformers for Fine-Grained Image Recognition
- [145] Can Task-Prefixed Text Embeddings Exploit Anonymized Financial-Graph Features? A Low-Label Comparison on T-Finance and Elliptic
- [146] Kang, A., Zhang, K., & Chen, Y. (2025, July). AI-Assisted Analysis of Policy Communication during Economic Crises: Correlations with Market Confidence and Recovery Outcomes. In 2025 International Forum on Computing and Intelligent Systems (pp. 159-173). Pinnacle Academic Press.
- [147] Ye, L. (2025). Rlhf-powered multilingual audio understanding: A cross-cultural emotion analysis framework for international communication. Journal of Sustainability, Policy, and Practice, 1(4), 66–79
- [148] Xin, L. (2025). DeepAd-ocr: An AI-powered framework for automated recognition and enhancement of conversion elements in digital advertisements. Journal of Sustainability, Policy, and Practice, 1(4), 32–49
- [149] Comparative Evaluation of LSTM, GRU, and Bi-LSTM for 30-Day Heart Failure Readmission and Incident Atrial Fibrillation Prediction from Longitudinal Electronic Health Records
- [150] Lei, Y. & Wu, Z. (2025). A Real-Time Detection Framework for High-Risk Content on Short Video Platforms Based on Heterogeneous Feature Fusion. 2025 International Forum on Computing and Intelligent Systems, 93-106
- [151] AI-Assisted Human Oversight in Credit-Card Fraud Detection: A Comparative Evaluation of Review-Routing Strategies under Analyst-Capacity Constraints
- [152] Jin, Z. (2025). SecureCodeBERT: An ai-powered model for identifying and categorizing high-risk security vulnerabilities in php-based critical infrastructure applications. Journal of Sustainability, Policy, and Practice, 1(4), 80–94
- [153] An Empirical Analysis of the Temperature Hyperparameter in Knowledge Distillation for Image Classification Student Networks
- [154] Zhang, S., Wang, Y., & Weng, H. (2024). Industrial IoT anomaly detection using improved autoencoder architecture. Artificial Intelligence and Machine Learning Review, 5(1), 67–78
- [155] Wei, C., Ge, L. & Brooks, N. (2024). Graph-based representation learning for financial fraud and anomaly transaction detection. Journal of Computing Innovations and Applications 2 (1), 153-164
- [156] Effects of Prompt Example Count on Money-Laundering Transaction Classification from Textualized Financial-Graph Neighborhoods: An Empirical Study