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RLC circuit modeling and simulation using Python

RLC circuit modeling and simulation using Python, explained step by step. Explore resonance, damping, and frequency response with practical coding and clear physics insights. #RLCCircuit #CircuitSimul ...

Governments grapple with the flood of non-consensual nudity on X

For the past two weeks, X has been flooded with AI-manipulated nude images, created by the Grok AI chatbot — and governments ...
IEEE

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models

Abstract: The rapid expansion of the industrial Internet of things (IIoT) has introduced new challenges in securing critical infrastructures against sophisticated cyberthreats. This study presents the ...
IEEE

Early Diabetes Prediction Using CNN-LSTM and CNN-Bi-LSTM Models Optimized with Adam on the PIMA Indian Dataset

Abstract: Early detection of the condition is critical to proper diabetes management and reducing risk for complications. A new concept for early prediction of diabetes is proposed in this study where ...
IEEE

Short-Term Load Forecasting Model Based on ICCEEMDAN-MRMR and CNN-SVM

Abstract: Aiming at the characteristics of gradually enhancing nonlinearity and volatility of power system load, a fusion power system load forecasting model based on sequence decomposition and ...
IEEE

RNN and CNN Based Ensemble Models for State-of-Health Prediction of Li-Ion Batteries

Abstract: Accurate prediction of the State-of-Health (SoH) of lithium-ion batteries is essential for optimizing performance and preventing failures in critical applications such as electric vehicles ...
IEEE

Short-Term Wind Power Prediction Model Based on MIC-CEEMDAN-VMD-CNN-BiLSTM

Abstract: To enhance the precision of wind power forecasting, this paper proposes a model that employs feature selection and secondary decomposition techniques. Initially, the maximal information ...

Teen Develops Flood-Detecting CubeSat

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

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

Deep Learning Meets Traditional AI: A Hybrid CNN-RF Model for Accurate and Explainable Skin Lesion Classification

Abstract: In dermatology, the task of skin lesion classification is a very important one, for early detection and treatment of skin cancer. In this work, we propose a hybrid AI model where ...
IEEE

Hybrid Models for Medical Image Analysis: CNN-SVM in Diabetic Foot Ulcer Detection

Abstract: Diabetic foot ulcer (DFU) is one of the most critical consequences of diabetes characterized by high mortality and potential risks for lower limb amputations. It is important if the disease ...
IEEE

Enhancing Sensitivity and Specificity in Diabetic Retinopathy Detection Using CNN-LSTM Models

Abstract: Early and accurate detection of diabetic retinopathy (DR), as the leading cause of blindness worldwide, is important to prevent blindness. We propose a hybrid Convolutional Neural Network ...