💻 computer science

Cross-Attention Based Multi-Sensor Fusion for Robust Object Detection in ADAS: YOLOv12 with Spatiotemporal Calibration and iHOA-Tuned Temporal Fusion Transformer

This paper proposes CAMSF-ADAS, a robust object detection framework for Advanced Driver Assistance Systems that integrates camera, LiDAR, and radar data through spatiotemporal calibration and cross-attention fusion, leveraging YOLOv12 for localization and an Improved Hippopotamus Optimization Algorithm-tuned Temporal Fusion Transformer for enhanced classification.

Raghunath Mallavarapu, Kanaka Raju Pappala, Sattibabu Bhumireddi, G. Krishna Podagatlapalli, Kavitha Chandu, Durga Rao T (…)2026-07-17
💻 computer science

Retrofit or Redesign? Hardware-Validated Constant-Time Defense and Cost Analysis for the M-Step Side-Channel on TrustZone-M

This paper demonstrates through real-silicon validation on Arm TrustZone-M that redesigning cryptographic algorithms for constant-time execution is superior to retrofitting, as the latter not only incurs roughly two orders of magnitude higher cost but also risks retaining exploitable control-flow leaks that only per-instruction verification can detect.

Arash Razban2026-07-17
💻 computer science

From Infrared to Ultraviolet]{From Infrared to Ultraviolet: A Renormalization Group Approach to Frequency-Aware Progressive Training

This paper proposes a frequency-aware progressive training strategy inspired by the renormalization group that sequentially activates low-to-high frequency branches with decaying learning rates, demonstrating consistent improvements in low-dimensional, few-shot regression tasks while clarifying that its efficacy diminishes in high-dimensional or smooth-process scenarios where scale separation is less relevant.

英熙 朱2026-07-17
💻 computer science

Dual-Stage Guided Artificial Lemming Algorithm (DALA) For Solving Engineering Application Optimization Problems

This paper proposes the Dual-Stage Guided Artificial Lemming Algorithm (DALA), which enhances the traditional ALA through adaptive probability ranking, a two-stage greedy strategy combining adversarial and topological learning, and JADE mutation to effectively solve high-dimensional engineering optimization problems and hyperparameter tuning for power load forecasting.

Jiayi Gao, Yu Zhang2026-07-17
💻 computer science

Risk Governance for Generative AI Mental Health Support: A Multi-Turn Safety Architecture

This paper presents a model-agnostic, multi-turn safety governance architecture that integrates contextual risk detection, reasoning-based verification, and protocol-guided response generation to significantly improve risk management and clinician-preferred escalation in LLM-driven mental health support while maintaining conversational rapport.

Anabela C. Areias, Catarina Botelho, António Farinhas, Areti Vassilopoulos, Dora Janela, Xin Tong, Nuno M. Guerreiro, Ma (…)2026-07-17
💻 computer science

DeepSeek for Pathology Report Understanding: A Benchmark Study of Cancer Type Extraction, AJCC Staging, and Prognosis Prediction

This benchmark study demonstrates that while DeepSeek models effectively extract cancer types and predict AJCC stages from 952 unstructured pathology reports, DeepSeek-extracted structured variables did not significantly improve prognosis prediction under the evaluated framework compared with using the original pathology report text directly, supporting a hybrid architecture that leverages DeepSeek for information extraction and staging while relying on traditional machine learning for outcome modeling.

Mohamed Kone, Gaoussou Haidara, Chao Hou, Shulin Wang2026-07-17✓ Author reviewed
💻 computer science

Conv-Guided Mamba Vision Transformer and SPP-DenseNet121 based Hybrid Multi-Feature Fusion and Query Expansion in Content-Based Medical Image Retrieval

This paper proposes a novel Content-Based Medical Image Retrieval framework that integrates a Conv-Guided Mamba Vision Transformer with SPP-DenseNet121 for hybrid multi-feature fusion and employs query expansion to achieve high retrieval accuracy on endoscopic bladder tissue and gastrointestinal datasets.

Mathana Gopal Arulsamy, Pallikonda Rajasekaran Murugan, Md. Jakir Hossen, Wai Kit Wong, Poh Kiat Ng, Gomathy Nayagam M2026-07-17
💻 computer science

A Spectrogram-Based Deep Learning Framework for Automatic Swara and Gamaka Recognition in Carnatic Veena Performances

This paper proposes a spectrogram-based deep learning framework utilizing Short-Time Fourier Transform and Mel spectrograms with convolutional neural networks to automatically recognize swaras and gamakas in Carnatic Veena performances, addressing unique acoustic challenges and establishing a foundation for applications in transcription, education, and digital archiving.

SUDHI S2026-07-17
💻 computer science

Human-in-the-loop GenAI advising for community college pathway decision-making: a design-based case study of requirement-group modeling and privacy-preserving student-support design

This design-based case study addresses the gap in GenAI research regarding community college advising by proposing a privacy-preserving framework and eight design principles that position AI as an explanatory layer for pathway planning while maintaining human oversight, protecting student data, and fostering learner agency.

Emery Peck2026-07-17