BMJ Open

Spatiotemporal patterns of asthma in Bhutan: a Bayesian analysis

Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
eLife

Deep learning reveals endogenous sterols as allosteric modulators of the GPCR–Gα interface

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
IEEE

Edge Convolution Graph Neural Network Assisted Power Allocation for Wireless IoT Networks

Abstract: We propose a novel power control technique called PC-ECGNN, which uses edge convolution to optimize power allocation in wireless IoT networks. PC-ECGNN leverages interference link distances ...
IEEE

SAR-SPA: Incorporating Target Scattering Characteristic Parameters in Adversarial Example Generation for SAR Imagery

Abstract: Deep neural networks (DNNs)-based SAR target recognition models are susceptible to adversarial examples, which significantly reduce model robustness. Current methods for generating ...
GitHub

MouNir9944/Modbus_TCP_IP_with_W5500_on_ESP32_ESP_IDF

MB_DEVICE_ADDR1 CID_INP_DATA_0, Data_channel_0 Data channel 1 MB_DEVICE_ADDR1 CID_HOLD_DATA_0, Humidity_1 Humidity 1 MB_DEVICE_ADDR1 CID_INP_DATA_1 Temperature_1 ...