💻 computer science

Automated Arrhythmia Detection from ECG Signals: AComparative Study of Bidirectional Long Short-Term MemoryNetworks and Residual Convolutional Neural Networks

This study benchmarks Bidirectional Long Short-Term Memory networks with attention against Residual Convolutional Neural Networks for automated ECG arrhythmia detection, finding that the ResNet architecture achieves superior performance (98.0% accuracy) by better extracting complex morphological features from a dataset of over 109,000 heartbeats.

Jajang Jaya Purnama, Sri Rahayu, Risnandar Risnandar2026-07-16
💻 computer science

A Deterministic Spatial Representation Packet for Sports Trajectories Under Explicit Coordinate, Threshold, and Tolerance Assumptions

This paper presents a deterministic pipeline for converting finite, noisy sports trajectory samples into auditable symbolic artifacts by explicitly enforcing coordinate, threshold, and tolerance assumptions, while strictly limiting its scope to representation and traceability rather than physical reconstruction or semantic inference.

WU YANG CHEN XI2026-07-16
💻 computer science

Beyond Accuracy: A Comprehensive Evaluation of ResNet50 and Vision Transformer for Trustworthy Pneumonia Detection from Chest X-Ray Images

This study presents a comprehensive evaluation of ResNet50 and Vision Transformer (ViT-B16) for pneumonia detection from chest X-rays, revealing that while ResNet50 offers superior accuracy, calibration, and efficiency, ViT-B16 demonstrates greater robustness against image degradations, thereby highlighting the necessity of multi-dimensional assessment for trustworthy diagnostic systems.

VISHAL MANTA2026-07-16
💻 computer science

Artificial Intelligence in Digital Banking: A Systematic Literature Review and a Novel Cross-Domain Resilience Framework for Customer Experience, Fraud Detection, and Risk Management

This systematic literature review synthesizes fragmented research on AI in digital banking to propose the novel AIDBRM 2.0 framework, which integrates customer experience, fraud detection, and risk management through cross-cutting mechanisms like a Unified Continuous Trust Score, a Generative AI Governance Sandbox, and Federated Cross-Institution Learning to address existing gaps in explainability and architectural alignment.

Durga Prasad Dāsepalli2026-07-16
💻 computer science

A Novel AJAD-BoostNet Framework for Histopathological Lung and Cervical Cancer Classification Using Deep Feature Learning, K-Means Clustering, and XGBoost

This paper proposes AJAD-BoostNet, a novel hybrid framework combining ResNet50-based deep feature extraction, PCA dimensionality reduction, K-Means clustering, and XGBoost boosting to achieve efficient and robust histopathological classification of lung and cervical cancers, demonstrating superior performance over traditional CNNs in resource-constrained settings.

AVIJIT KUMAR CHAUDHURI, Pramoda Patro2026-07-16
💻 computer science

Ten Novel Phenomena in Machine Psychology: How Large Language Models Exhibit Complex Identity-Reactive Behaviors in Response to Ethnically-Cued User Names

This study introduces the framework of "Machine Psychology" to reveal that aligned large language models, while free of explicit racial bias, exhibit ten novel, highly structured identity-reactive behaviors in response to ethnically-cued user names, necessitating a shift from basic harm mitigation to comprehensive behavioral evaluation.

Abbas Hamidavi2026-07-16