Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...

Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...

Abstract: Reptile is an innovative meta-learning approach that improves the process of neural networks training across diverse tasks. Reptile differs from the preference gradient strategies. It ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...

Official TensorFlow/Keras implementation for the paper: "AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification" Summary: The automatic ...

XRP sentiment hits extreme negativity with Fear & Greed at 24. Research shows sentiment extremes predict reversals with 70-91 ...

Abstract: An intelligent prediction and optimization algorithm of intelligent building energy management system (EMS) with deep learning is proposed. The system architecture includes three modules: ...

High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...

As 2026 admissions near, students are turning to future-ready degrees that promise strong demand, global opportunities and salaries ranging from lakhs to even crores ...

Abstract: Vibration signal analysis methods based on digital signal processing (DSP) have been proven effective in motor fault diagnosis. However, DSP requires signal conversion from analog to digital ...