Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
AZoRobotics

What Language Models Can (and Can’t) Do

From early word predictors to GPT-4, explore how language models have evolved—and what they mean for the future of AI and ...

LLM side-channel attack could allow snoops to guess what you're talking about

Mischief-makers can guess the subjects being discussed with LLMs using a side-channel attack, according to Microsoft ...
IEEE

State Monitoring of Power Distribution Systems Based on ZigBee Technology and Graph Attention Networks

Due to the natural topology of the power grid, current technologies fail to quickly locate abnormal positions and perform fault classification diagnosis when anomalies occur in power distribution ...
The Lancet

Therapeutic efficacy of Cyclosporine A in recurrent spontaneous abortion: a meta-analysis and network meta-analysis incorporating Chinese and English language studies

aLaboratory of Reproduction Immunology, Obstetrics and Gynecology Hospital, Fudan University Shanghai Medical College, Shanghai, 200032, China bShanghai Key Laboratory of Maternal Fetal Medicine, ...
Journal of Medical Internet Research

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

A random effects model was used to extract the effect sizes with 95% CIs. Study heterogeneity was evaluated using forest plots and P values in the Cochran Q test. Moderator analysis was performed to ...
IEEE

LSNN Model: A Lightweight Spiking Neural Network-Based Depression Classification Model for Wearable EEG Sensors

Abstract: Depression detection via wearable Electroencephalogram (EEG) sensor-assisted diagnosis system demands computationally efficient models compatible with resource-constrained edge devices.
Frontiers

Correction: Short-time photovoltaic output prediction method based on depthwise separable convolution Visual Geometry group- deep gate recurrent neural network

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
BMJ

Risk factors for recurrent attacks of wheeze in preschool children: a population-based cohort study in England

Setting English primary electronic health data from the Clinical Practice Research Datalink linked with hospital data from Hospital Episode Statistics. Participants 42 820 children aged 5 years or ...
C&EN

Cocrystal Network-Based Recommendation: A Multi-Objective Random Walk-Based Network Model for Virtual Screening of Drug–Drug Cocrystals

Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, ...
C&EN

A Large Language Model-based Framework to Retrieve Life Cycle Inventory and Environmental Impact Data from Scientific Literature

Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, Hauz Khas, ...