Real time Object detection is a computer vision task that involves identi fying and localizing objects of interest within an image or video. Many chal lenges need to be addressed in object detection, including occlusions, ...
This project aims to develop a state-of-the-art approach for accurately estimating the
state of charge (SOC) of lithium-ion batteries by leveraging the combined power of rein forcement learning, Convolutional Neural ...
Fault diagnosis in rotating machinery plays a crucial role in ensuring operational reliability
and safety.Rotating machinery plays a critical role in various industrial applications,but en suring its reliability and safety ...
Aerial scene classification is the process of categorizing and analyzing im ages captured from an aerial perspective, enabling the identification of land
cover, objects, and scene composition for various applications. ...
DeepCrack is a continuously trainable deep convolutional neural network
designed for automatic crack detection and measurement. Cracks are linear
features that hold significant importance in various imaging applications, ...
Due to the medium’s scattering and absorption, underwater image captures
are prone to colour distortion, detail loss, and contrast reduction. The arti cle provides a technique for enhancing underwater photography quality ...
The light is scattered by air particles, which reduces the clarity of an image
taken in bad lighting conditions (such as haze, fog, mist, or smog). When a
single hazy image needs to be made more visible, single image ...
Today whatever look can see presence of digital image.Every day may groups
like doctors, engineers, and students etc. release many images for their dif ferent needs.These images may contain both textual and non textual ...
Concerns about the threat of piracy and the spread of viruses have been raised as a
result of the rise in popularity of Android applications. Through applications, malware is
frequently propagated in the mobile environment. ...
The education field has undergone a rapid transformation with the advent of
online courses, that aid in skill acquisition and life long learning. However, in
the present scenario, the major limitation of these courses ...
Intrusion Detection System(IDS) is a monitoring system that identify un usual activity and send out alerts when it does. It is a core part of site’s
safety and security strategy. A computer vision task that requires ...
The rotor fault diagnosis plays an important role in rotating machinery
system by early detection and avoiding dangerous situations of rotating ma chinery system. Accurate fault diagnosis of rotor machine ensures ...
Phishing websites are the ones with same name and appearance as an offi cial website. Nowadays, URL phishing is increasing and are causing great
threats, they pretend to be the same as the official website and steal ...
Object localization is one of the core tasks in computer vision, as they
are applied in many real-world applications such as autonomous vehicles
and robotics. It refers to the task of locating an object in an image us ...
REHNA, Cherian Kattakayam; Dimple A, Shahjahan(2022-09)
Image enhancement with edge retention in the presence of outliers and
artefacts is a daunting task in the field of image processing and computer vi sion. Inspired by the information processing mechanism in the human ...
Sentiment analysis is an active research area in natural language process ing where underlying emotions expressed in textual data are analysed and
identified. It can either be categorized as positive and negative or mul ...
Recommender systems are backbone for ecommerce website today. With the
rapid growth in the ecommerce web sites, recommendation systems plays
very important role to provide personalized service to the user. A good rec ...
Cancer is a disease in which some of the body’s cells grow uncontrollably
and spread to other parts of the body. The availability of proper screening
methods are important for detecting initial symptoms. Also, A tumor ...