Titlebook: Innovations and Advances in Cognitive Systems; ICIACS 2024, Volume S. D. Prabu Ragavendiran,Vasile Daniel Pavaloaia,A Conference proceedin

Exposition

Ascendancy

Deep Learning Approach for Analysis of Audio for the Diagnosis of Alzheimer, Alzheimer‘s disease (AD) diagnosis by utilizing deep learning models such as Convolutional Neural Networks (CNN) and Long Short-Term Memory networks (LSTM), which analyze the speech patterns. These algorithms detect AD non invasively from audio inputs, focusing on Mel-Frequency Cepstral Coefficient

Peculate

ABASH

Bombast

Machine Learning Algorithms for the Detection of Email Spam Based on Python Implementation,arge number of people continue to be vulnerable to fraudulent schemes. Even while Gmail has a spam filtering system, it‘s not always effective. False positives can occur when potentially dangerous emails pass through unnoticed or when valid messages are incorrectly tagged as spam. The results of thi

ANTI

Image Enhancement Using Optimized Generative Adversarial Networks,, there is a growing demand for effective image enhancement techniques in various fields which utilizes image processing. The aim of this research is to meet this need. The suggested method addresses image restoration problems by combining a CNN model-VGG16 in this case with Generative Adversarial N

哀求

Travel Mitra: An AI Assisted Tour Companion,y to plan your travels using a smart chatbot. This chatbot is clever because it can use up-to-the-minute information to suggest places to visit and make a travel plan that fits just what you want for different cities. It’s designed to make planning your trip easy by giving you all the information an

深渊

The Future of Plant Health: A Vision for Genetically-Inspired Image Processing and Deep Learning foobal agriculture, leading to substantial economic losses and food security concerns. For efficient disease control and crop protection, plant diseases must be promptly identified and monitored. The novel application of genetic algorithms and image segmentation methods to plant disease detection is t

不适

Leaf Disease Detection Using Machine Learning in Conjunction with Image Processing, that CNNs excel at image-based tasks, they may be used effectively to recognise plant illnesses from photographs involving their leaves or additional pertinent elements. Take pictures of both healthy and diseased plants to create a dataset of photographs. By photographing the plants in the agricult

gorgeous

Real Time Surveillance System Using Yolov8, the YOLOv8 object detection model for real-time object detection, with a focus on detecting humans. The system architecture consists of a Python backend, which uses Flask framework for web interfacing and the OpenCV library for capturing and processing the videos. The YOLOv8 model can accurately id