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Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings

The rapid evolution of malware variants requires robust classification methods to enhance cybersec...

A Gradient-Optimized TSK Fuzzy Framework for Explainable Phishing Detection

Phishing attacks represent an increasingly sophisticated and pervasive threat to individuals and o...

COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization

Recent advancements in image manipulation have achieved unprecedented progress in generating photo...

Temporal Entailment Pretraining for Clinical Language Models over EHR Data

Clinical language models have achieved strong performance on downstream tasks by pretraining on do...

Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendation

Medication recommendation is crucial in healthcare, offering effective treatments based on patient...

Cluster-Aware Attacks on Graph Watermarks

Data from domains such as social networks, healthcare, finance, and cybersecurity can be represent...

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation

Synthetic Electronic Health Record (EHR) time-series generation is crucial for advancing clinical ...

Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology

The complexities of healthcare data, including privacy concerns, imbalanced datasets, and interope...

A comprehensive survey of cybercrimes in India over the last decade

Since the 1990s, the integration of technology into daily life has led to the creation of an exten...

M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data

Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...

Cloud based DevOps Framework for Identifying Risk Factors of Hospital Utilization

A scalable and reliable system is required to analyze the National Health and Nutrition Examinatio...

Fragile Watermarking for Image Certification Using Deep Steganographic Embedding

Modern identity verification systems increasingly rely on facial images embedded in biometric docu...

Naming is framing: How cybersecurity's language problems are repeating in AI governance

Language is not neutral; it frames understanding, structures power, and shapes governance. This pa...

From Data Behavior to Code Analysis: A Multimodal Study on Security and Privacy Challenges in Blockchain-Based DApp

The recent proliferation of blockchain-based decentralized applications (DApp) has catalyzed trans...

DeepSelective: Feature Gating and Representation Matching for Interpretable Clinical Prediction

The rapid accumulation of Electronic Health Records (EHRs) has transformed healthcare by providing...

Can LLMs handle WebShell detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework

WebShell attacks, in which malicious scripts are injected into web servers, are a major cybersecur...

Investigating cybersecurity incidents using large language models in latest-generation wireless networks

The purpose of research: Detection of cybersecurity incidents and analysis of decision support and...

Foundation models for electronic health records: representation dynamics and transferability

Foundation models (FMs) trained on electronic health records (EHRs) have shown strong performance ...

MCBlock: Boosting Neural Radiance Field Training Speed by MCTS-based Dynamic-Resolution Ray Sampling

Neural Radiance Field (NeRF) is widely known for high-fidelity novel view synthesis. However, even...

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models

Electronic health record (EHR) foundation models have been an area ripe for exploration with their...

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