Titlebook: Computer Vision and Robotics; Proceedings of CVR 2 Jagdish Chand Bansal,Andries Engelbrecht,Praveen K Conference proceedings 2022 The Edito

MERIT

Drone Usage in Delivery of Vaccines in Indian Scenario,he present scenario demands deploying technology to fight against the novel contagion. In India, which has the largest and dense population, it is very difficult to monitor and check the spread of COVID-19. This paper aims to discuss the key factors and advantages of using drones to combat the novel

隱士

Tonometry

Randomized Pixel Selection for Concealing the AES Encrypted Text Message Inside a Video File,en inside the random pixels by using the Mersenne Twister algorithm. Furthermore, to add an extra layer of security onto the hidden information, first, the plain text is subject to be encrypted using the AES algorithm by providing a 128-Bit key, the encrypted text in Hexadecimal format is converted

mechanism

Autism Spectrum Disorder Detection Using ASD_sfMRI,communication, social behavior, and underlying social knowledge. Detection of ASD always remains challenging due to its complicated psychiatric symptoms. Traditional clinical tools used for the detection of ASD are not much efficient in earlier ASD diagnosis. To overcome the limitations of existing

Abrupt

aggrieve

Vacation Advisor Based on Dynamic Ratings,r sentiment analysis. By employing a long short-term memory network, the reviews provided by various users are rated on a scale of five. Real-world recommender systems are being successfully used. However, the systems considering the current location of the user and the reviews provided by various u

rectocele

animated

,Predicting Forest Cover Change in Middle Atlas Morocco: A Logistic–CA–Markov Approach, capital. In addition, due to various anthropic pressure, an ongoing degradation process still continues threatening the future of natural capital especially forest ecosystems. To overcome this process, a knowledge of the forest cover change’s process and its trends is imperative in order to reverse

Wernickes-area

Leaf Image-Based Plant Disease Diagnosing CNN Compression Using Network Pruning and Weight Clusteri and speed of successful CNN models are often discouraging to be used in real time or to run on edge devices. So, there are numerous studies to compress and speed-up CNNs. In this paper, two memory usage effective compression algorithms (network pruning and weight clustering) are used on a trained C

星球的光亮度