IEEE

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...
GitHub

Motus: A Unified Latent Action World Model

Inference (without pre-encoded T5) ~ 41 GB A100 (40GB) / A100 (80GB) / H100 / B200 Motus_Wan2_2_5B_pretrain Pretrain / VGM Backbone Stage 1 VGM pretrained checkpoint ...
IEEE

An Attention-Augmented BiLSTM-CNN Model for Stock Price Prediction

Abstract: The inherent volatility of the stock market has challenged investors in seeking reliable predictive models. This paper presents a hybrid deep learning model that combines bidirectional long ...
IEEE

A Hybrid CNN-GRU Model with Attention Mechanism for the Detection of Epileptic Seizures in EEG Signals

Abstract: Epilepsy, a persistent neurological condition marked by spontaneous seizures due to uncontrolled functioning of the brain. The uncertain nature of seizures has an immense effect on patients ...
IEEE

An Innovative Hybrid Model Combining CNN and Random Forest for Financial Transaction Analysis

Abstract: Financial fraud is a growing concern in digital transactions, with traditional fraud detection systems struggling to keep up with evolving fraudulent tactics. This study proposes a hybrid ...
IEEE

Parallel Fusion CNN Enabled Data-Driven Nonlinear Model on Time-Frequency Characterization for Power Quality Analysis

Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
IEEE

Deep Learning-Powered Signature Authentication: The SigVerify CNN Model

Abstract: Verification of signatures is critical for authentication procedures in the legal, banking, and financial domains. A cutting-edge, AI-powered technology called SigVerify Project uses deep ...
GitHub

Z80-μLM: A Retrocomputing Micro Language Model

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
IEEE

A Model for Vulnerability Classification based on Res-CNN-BiTLSTM

Abstract: Vulnerabilities in software and distributed systems are increasing, and system security becomes a challenge for developers. Giving a quick vulnerability classification for newly discovered ...
IEEE

Hybrid CNN–SVM Model for Early Cancer Detection and Multiclass Tumor Classification Using Biomedical Imaging Data

Abstract: Improving patient survival rates and treatment results depends on early cancer identification and precise classification. In order to improve the efficacy of multiclass tumour classification ...
IEEE

Natural Gas Transmission Forecasting Using CNN-LSTM Deep Learning Model

Abstract: Oil and gas distribution through undersea pipelines requires continuous monitoring, especially when transmitting these resources through undersea pipelines, as operational failures can lead ...