IEEE

Evaporation Duct Propagation Environment Prediction Based on CNN-BiGRU Model

Abstract: A hybrid CNN-BiGRU model based on deep learning, including Convolutional Neural Net work (CNN) and Bidirectional Gated Recurrent Unit (BiGRU), is proposed to predict evaporation duct (ED) ...
GitHub

Neural Graphics Model Gym

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
IEEE

Study on Depression Detection Model with Self-Supervised Speech Representation: The Architecture of wav2vec2-LSTM-CNN

Abstract: Depression is a common mental disorder with increasing global incidence rates. Traditional diagnostic methods rely on subjective assessments, which are time-consuming, costly, and lack ...
IEEE

Short-term prediction of wind turbine power based on improved CNN-LSTM hybrid model

Abstract: Precise short-term prediction of wind turbine power is crucial for optimizing power dispatching, enhancing power grid reliability, and improving wind power consumption capabilities. This ...
Opinion
Dot Physics on MSNOpinion

How to model a string with mass using Python

In this video, we show how to model a string with mass using Python, breaking down the physics, equations, and numerical approach step by step. Learn how to represent distributed mass, apply forces, ...
IEEE

Asymptotically Optimal Repair of Reed-Solomon Codes with Small Sub-Packetization under Rack-Aware Model

Most distributed storage systems (DSS) use erasure codes, particularly Reed-Solomon (RS) codes [1]–[4], to achieve maximum error correction capability under the ...
IEEE

Guardian Veil: Fortifying IoT Locking Systems with CNN Embedded QR Codes and Signal Sorcery

Abstract: With the rise of IoT-driven locking mechanisms, integrating advanced technologies like steganography, QR codes, and embedded systems presents a promising avenue for strengthening ...
IEEE

An Ensemble Deep Learning Model Using CNN, LSTM and Autoencoder for EEG-Based Parkinson’s Disease Classification

Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
IEEE

Pao-Ding: Accelerating Cross-Edge Video Analytics via Automated CNN Model Partitioning

Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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GitHub

bethington/cheat-engine-server-python

This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.
IEEE

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model

Abstract: Wearable cuffless blood pressure (BP) technology is emerging as a critical tool for monitoring hypertension, the leading risk factor of most cardiovascular diseases. However, current ...