Sökresultat - "Machine learning (ML) algorithms"

Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets

Javanmardi, G., Robles, R.S.

Evaluating Multiplex Biomarkers for Early Detection of Cervical Cancer

Shanthini, M., Selvarani, A.Grace

2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)

Automated Retail Assortment Optimization Using Machine Learning and Deep Learning in Compact Stores During Crisis Periods

Aboalanin, Nora Hassan, Abo Rizka, Mohamed, Hafez, Manar Mohamed

2024 34th International Conference on Computer Theory and Applications (ICCTA)

Automating Product Classification in E-Commerce through Machine Learning and Natural Language Processing

Jayadharshini, P., Krishnasamy, Lalitha, Harshini, M, Arunachalam, M, Ajaykumar, N, Hari Sri Uvan, M

2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)

Sentiment Analysis of Machine Learning Algorithms: A Transformer-Based Approach

Kumar Sudabathula, Vijay Sai, Madana Kailash Varma, Nadimpalli, Mattaparty, Sri Harsh, Krishna Mohan Naik, Banoth, Ahmeduddin, Syed, Aryan, Adla

2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE)

Effective Farming for Zero Wastage and Enhancement of Farmer’s Income

Gomathy, G., Esther, C., Manaswini, S., Swedharani, RV., Hyden, J. Jerry, Anand, A. Ajay

2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)

Speech Enhancement using IOT for the Mute Community

Thangam, S., Gurupriya, M., Manyam, Yashaswini, Sundaram, Srinidhi

2024 7th International Conference on Contemporary Computing and Informatics (IC3I)

A Comparative Analysis of Machine Learning Models for Medium-Term Load Forecasting in Smart Commercial Building

Hussain, Ayaz, Franchini, Giuseppe, Giangrande, Paolo, Mandelli, Giulia, Fenili, Lorenzo

2024 IEEE 12th International Conference on Smart Energy Grid Engineering (SEGE)

A Federated MRI and ML Approach for Precision Healthcare Detection

Almarar, Noof, Otoum, Safa

ICC 2024 - IEEE International Conference on Communications

Sentiment Analysis of Machine Learning Algorithms: A Transformer-Based Approach

Kailash Varma, Nadimpallli Madana, Vijay Sai Kumar, Sudabathula, Mattaparty, Sri Harsh, Ismail, Shifa, Harshini, Marisetti, Ahmeduddin, Syed

2024 Intelligent Systems and Machine Learning Conference (ISML)

A Survey on Machine Learning Techniques for Stock Market Price Prediction

Abhyuday, Dubey, Akash, Singh, Shivam, Mishra, Ashish Kumar

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)

The development of a new edge computing device based on deep learning YOLOv8 algorithm for diabetic retinopathy Detection

Singh, Devendra, Mohan, Lalit, Pant, Janmejay, Mittal, Amit, Dobhal, Dinesh C.

2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)

Machine Learning Assisted Experimental Investigation on Carbon Emissions of Diverse Fuels

Jeniffer, S Benil, Sathya, D., Yogeshwari, R, Santhosh Kumar, S, Suganth Krishna, E, Pranesh, M P

2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

Performance Evaluation of Machine Learning Algorithms for a Cluster-based Crop Recommendation System

Muhammed, Dalhatu, Ahvar, Ehsan, Ahvar, Shohreh, Trocan, Maria

2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

A Lightweight and Efficient IoT Intrusion Detection Method Based on Feature Grouping

He, M., Huang, Y., Wang, X., Wei, P.

A Hybrid LSTM-DBN Approach for Automatic Epileptic Seizure Detection compared with Normal Human Activity using EEG Signals

Cherukuvada, Srikanth, Kayalvizhi, R.

2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)

A Novel Approach for Enhancing Battery Reliability in Market Using Machine Learning-Based RUL Prediction

Babu, Ch. Rajendra^Aff7, Swapna, Thalla^Aff8, Lakshmi, Ramisetty Siva Naga^Aff8, Sankar, Avanigadda Durga^Aff8, Reddy, Bezawada Naga Venkata^Aff8

Goyal, D P, editor^Aff1, Sarker, Suprateek, editor^Aff2, Mukhopadhyay, Somnath, editor^Aff3, Roychoudhury, Basav, editor^Aff4, Upadhyay, Parijat, editor^Aff5, Dadabada, Pradeep Kumar, editor^Aff6

An Experimental Analysis of Machine Learning Models for Diabetes Classification

Ghosh, Subhayu^Aff39, Acharya, Riyan^Aff40, Jana, Nanda Dulal^Aff39

Angrisani, Leopoldo, Series Editor^Aff1, Arteaga, Marco, Series Editor^Aff2, Chakraborty, Samarjit, Series Editor^Aff3, Chen, Shanben, Series Editor^Aff4, Chen, Tan Kay, Series Editor^Aff5, Dillmann, Rüdiger, Series Editor^Aff6, Duan, Haibin, Series Editor^Aff7, Ferrari, Gianluigi, Series Editor^Aff8, Ferre, Manuel, Series Editor^Aff9, Jabbari, Faryar, Series Editor^Aff10, Jia, Limin, Series Editor^Aff11, Kacprzyk, Janusz, Series Editor^Aff12, Khamis, Alaa, Series Editor^Aff13, Kroeger, Torsten, Series Editor^Aff14, Li, Yong, Series Editor^Aff15, Liang, Qilian, Series Editor^Aff16, Martín, Ferran, Series Editor^Aff17, Ming, Tan Cher, Series Editor^Aff18, Minker, Wolfgang, Series Editor^Aff19, Misra, Pradeep, Series Editor^Aff20, Mukhopadhyay, Subhas, Series Editor^{Aff21, Aff35}, Ning, Cun-Zheng, Series Editor^Aff22, Nishida, Toyoaki, Series Editor^Aff23, Oneto, Luca, Series Editor^Aff24, Panigrahi, Bijaya Ketan, Series Editor^Aff25, Pascucci, Federica, Series Editor^Aff26, Qin, Yong, Series Editor^Aff27, Seng, Gan Woon, Series Editor^Aff28, Speidel, Joachim, Series Editor^Aff29, Veiga, Germano, Series Editor^Aff30, Wu, Haitao, Series Editor^Aff31, Zamboni, Walter, Series Editor^Aff32, Tan, Kay Chen, Series Editor^Aff33, Dhar, Sourav, editor^Aff34, Do, Dinh-Thuan, editor^Aff36, Sur, Samarendra Nath, editor^Aff37, Imoize, Agbotiname Lucky, editor^Aff38

Huntington’s Disorder Prediction Using Hybrid Grid Search-SVM Model

Pandey, Saumya^Aff7, Srivastava, Sojal^Aff7

Das, Swagatam, Series Editor^Aff1, Bansal, Jagdish Chand, Series Editor^Aff2, Jaiswal, Ajay, editor^Aff3, Anand, Sameer, editor^Aff4, Hassanien, Aboul Ella, editor^Aff5, Azar, Ahmad Taher, editor^Aff6

GAMMA: Graph Attention Model for Multiple Agents to Solve Team Orienteering Problem With Multiple Depots

Sankaran, P., McConky, K., Sudit, M., Ortiz-Pena, H.