Titlebook: Data Science and Network Engineering; Proceedings of ICDSN Suyel Namasudra,Munesh Chandra Trivedi,Pascal Lore Conference proceedings 2024 T

larder

Facial Expression Based Music Recommendation System Using Deep Learningased on facial expressions. Many music applications are based on a user’s browsing history but this work presents an idea on the music recommendation based on users’ facial expressions that give outstanding results. It has got a unique ability to lift one’s mood. The work’s overall concept is recogn

消毒

Processes

Keystroke Dynamics-Based Analysis and Classification of Hand Posture Using Machine Learning Techniqud rhythm of their keyboard strokes. It alludes to the precise timing data that shows when each key was pressed and when it was released during keyboard typing. Keystroke Dynamics assists in identifying a specific person‘s hand biometric template. This research uses a wide range of dwell time and fli

Awning

Harridan

Turbulent Particle Swarm Optimization and Genetic Algorithm for Function Maximizationorithm (GA). One of the drawbacks of standard PSO was to prematurely converge on local optimal solutions. In this work, we have used Turbulent Particle Swarm Optimization (TPSO) instead of standard PSO due to the drawback mentioned above. Here, different operations of Genetic algorithm were included

山间窄路

An Innovative New Open Computer Vision Framework Via Artificial Intelligence with Pythonamework, has played an important role in allowing computer vision tasks. This study presents an AI-driven Python implementation of the OpenCV framework to expand its capabilities. Data collecting and pre-processing, feature extraction, model selection and training, and Python-based system implementa

Figate

Meat Freshness State Prediction Using a Novel Fifteen Layered Deep Convolutional Neural Networkocess of freshness deterioration, which leads to bacterial growth. As a result, the need for a reliable and quick way of monitoring and evaluating meat deterioration is growing urgent. By Considering these aspects, this paper proposes a Novel Fifteen Layered Deep Convolutional Neural Network (15L-DC

dyspareunia

MORPH

Smart Surveillance System and Prediction of Abnormal Activity in ATM Using Deep Learningng capacity of law enforcement agencies has not kept pace. ATM spoofing attacks can be carried out to break or damage the ATM by stealing the machine and taking cash from the ATM. To reduce this problem, we arm the ATM with a camera module mounted in the room to perform continuous video observation.

FACET

A Framework for Extractive Text Summarization of Single Text Document in Tamil Language Using Frequehe content may be comprehensive and redundant. A summary gives an insight of the document. Text summarization is broadly classified into two categories—extractive and abstractive summarization. Abstractive summarization uses deep learning techniques to generate summary, just as humans generate summa