Deep Learning with Yacine on MSN
Understanding Caesar Cipher in Python — Encode and Decode Text Easily
Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to encode and decode messages using one of the oldest and most famous encryption ...
MLX support on Apple Silicon is in progress. We will make necessary updates to the repository once it is available. However, the generation pattern and post-training strategies of dLLMs remain ...
Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
Abstract: Drowsy driving being one of the most significant risks to road safety, results in numerous fatal road mishaps across the globe. Casualties and mental trauma haunt the affected individuals ...
Abstract: This work presents a novel method for predicting the yield of Micro-electromechanical Systems (MEMS) resonators by using Convolutional Neural Networks (CNNs) to extract morphological ...
Abstract: With the rising need for secure authentication and data protection, this paper proposes a multi-layered security framework integrating biometric authentication, encryption, and covert ...
Abstract: Electroencephalogram (EEG) has been widely employed in emotion recognition, seizure detection, and brain-computer interface applications. This article presents an elaborated RISC-V-based EEG ...
Abstract: This research investigates the development of a predictive model for kidney stone formation using deep learning techniques, specifically Convolutional Neural Networks (CNN), VGG 19, and Deep ...
The database billionaire and his son, David, are Trump favorites. The family could soon control an empire that includes CBS, Paramount, Warner, CNN and a piece of TikTok. The database billionaire and ...
Abstract: Low-code platforms often use various models that define the application built by citizen developers. With the increasing size and complexity of the applications built using low-code ...
Abstract: This paper proposes a photovoltaic power prediction model based on GWO-CNN-LSTM-MATT. Firstly, the convolutional neural network (CNN) is used to extract the spatial features and local ...
Abstract: Electric Vehicle (EV) charging requires grid demand management along with accurate charging behavior predictions to optimize energy distribution and prevent grid congestion. This study ...
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