Titlebook: Intelligent System Design; Proceedings of INDIA Vikrant Bhateja,K. V. N. Sunitha,Yu-Dong Zhang Conference proceedings 2023 The Editor(s) (i

照相機(jī)

書目名稱Intelligent System Design影響因子(影響力)




書目名稱Intelligent System Design影響因子(影響力)學(xué)科排名




書目名稱Intelligent System Design網(wǎng)絡(luò)公開度




書目名稱Intelligent System Design網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent System Design被引頻次




書目名稱Intelligent System Design被引頻次學(xué)科排名




書目名稱Intelligent System Design年度引用




書目名稱Intelligent System Design年度引用學(xué)科排名




書目名稱Intelligent System Design讀者反饋




書目名稱Intelligent System Design讀者反饋學(xué)科排名

熱烈的歡迎

On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms,histogram (LBPH) method against GoogleNet, which uses convolutional neural network (CNN) architecture, using transfer learning. From the comparative analyzes and studies, it was elucidated that LBPH and Haar cascade are computationally efficient, but CNN has more accuracy despite its longer computat

反饋

IPL Analysis and Match Prediction, learning (classification) algorithms have been used to compare and predict the winner of the match. Every game has its own requirements; similarly, the T-20 game also has its own which were not satisfied by current models. By using Python, the intricacy of data analysis is reduced as it shows the a

idiopathic

,Application of ANN Combined with Machine Learning for Early Recognition of Parkinson’s Disease,uron communication in the brain. When a sufficient amount of dopamine is not released, the brain starts causing movement-related problems (motor symptoms) which lead to PD. The progression of PD in people changes from non-motor symptoms to motor symptoms. So, many researchers are trying to detect Pa

ABASH

People Count from Surveillance Video Using Convolution Neural Net, we can lost count in the middle of doing this laborious task, especially when dealing with object that intersects with each other or dense crowd. This project automates the counting process by building a machine learning system that can convert a video into frames, then the model will output number

ingestion

Detection of Pneumonia and COVID-19 from Chest X-Ray Images Using Neural Networks and Deep Learningt pneumonia/COVID-19 from the X-ray images. In this paper, convolutional neural networks along with transfer learning are used to aid in the detection of the disease. A CNN model is proposed with four convolutional layers with four max pooling layers, one flatten layer followed by one fully connecte

開頭

Plant Leaf Disease Detection and Classification Using Deep Learning Technique,ajor problem in agriculture. Taking care of the disease in the early stage will prevent the disease from spreading between plants. Modern technology will be the way for the detection of crop leaf disease. The deep learning technology made it easier to detection of crop leaf diseases. The dataset use

Ankylo-

Breast Mass Classification Using Convolutional Neural Network,o reduce this mortality rate. Different Artificial Intelligent (AI) techniques such Machine Learning (ML), Deep Learning (DL) is being used in the medical industry to predict breast cancer. Different breast cancer images like mammogram, ultrasound and biopsy, etc. are used for analysis. This work ai

懲罰

不能平靜

Fusion-Based Celebrity Profiling Using Deep Learning,PAN challenge. Most of the researchers used stylistic features and content-based features and predicted the sub-profiles. The accuracies of the existing model are not satisfactory. The stylistic features learn the writing style of the celebrity, and the embedding vector learns context of the words.