Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Kusum Kumari Bharti"'
Autor:
Benyamin Abdollahzadeh, Silifat Adaramaja Abdulraheem, Iyad Abu-Doush, Mohammed Azmi Al-Betar, Yusuf Sahabi Ali, Khalifa Al-Jabri, Ghazi Al-Rawas, Ankush Anand, Mohammed A. Awadallah, Parnian Hashempour Bakhtiari, P. Shanthi Bala, Kusum Kumari Bharti, Gautam M. Borkar, Malik Shehadeh Braik, Özay Can, Soumitri Chattopadhyay, Aybike Özyüksel Çiftçioğlu, Ahmet Cevahir Cinar, Serdar Ekinci, Hasan Eroğlu, Amir H. Gandomi, Mohammadali Geranmehr, Farhad Soleimanian Gharehchopogh, Ibrahim Hayatu Hassan, Davut Izci, Sehej Jain, Isuwa Jeremiah, Ersin Kaya, Muhammad Najeeb Khan, Nima Khodadadi, Hisham M. Khudhur, Krishanu Kundu, Aritra Marik, Mansur Aliyu Masama, Mwangi Mbuthia, Seyedali Mirjalili, Abdullahi Mohammed, Rafaa Mraihi, Mohammad Reza Nikoo, Abraham Nyete, Ali Öztürk, Narendra Nath Pathak, Anita R. Patil, Rishav Pramanik, Bochra Rabbouch, Hana Rabbouch, Sajad Ahmad Rather, Foued Saâdaoui, Davies Segera, Sevil Sen, Amit Kumar Sinha, Bahaeddin Turkoglu, Sait Ali Uymaz, Selim Yilmaz, Ehsan Yousefi-Khoshqalb
Publikováno v:
Comprehensive Metaheuristics ISBN: 9780323917810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd6226b3aa5e931607ec81c35cf9841
https://doi.org/10.1016/b978-0-323-91781-0.09992-0
https://doi.org/10.1016/b978-0-323-91781-0.09992-0
Autor:
Sehej Jain, Kusum Kumari Bharti
Publikováno v:
Comprehensive Metaheuristics ISBN: 9780323917810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a3f4e6fd6ef8572417fd98e02efb763
https://doi.org/10.1016/b978-0-323-91781-0.00018-1
https://doi.org/10.1016/b978-0-323-91781-0.00018-1
Autor:
Shivanjali Pandey, Kusum Kumari Bharti
Publikováno v:
Soft Computing. 25:11333-11345
Online social networks (OSNs) have incredibly grown over the past decades. People connect with their friends, family members, new people and share their views or fun artifact with them through OSNs such as Facebook, Twitter, Instagram, Telegram, etc.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20aa114c4da094051f3dea02b0ebbd4c
https://doi.org/10.1007/s00500-021-05930-y
https://doi.org/10.1007/s00500-021-05930-y
Autor:
Sehej Jain, Kusum Kumari Bharti
Publikováno v:
Soft Computing.
Disasters are large-scale disruptions for the society that cause damage to human lives, infrastructure, and the ecosystem. Multiple emergencies emerge, which need to be handled and resolved efficiently to minimize the impact of the disaster. Therefor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e522c39c96f7161692fbc78b44bf221
https://doi.org/10.1007/s00500-022-07176-8
https://doi.org/10.1007/s00500-022-07176-8
Autor:
Sehej Jain, Kusum Kumari Bharti
Disasters occur over a short or long period of time and cause large-scale harm to humans, infrastructure, as well as the ecosystem every year. Immediate response after a disaster helps minimize its impact on life and property. Therefore, it is crucia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08b6d358569ca4969747fbc9ec29e6b2
https://doi.org/10.21203/rs.3.rs-1140300/v1
https://doi.org/10.21203/rs.3.rs-1140300/v1
Autor:
Sehej Jain, Kusum Kumari Bharti
A novel meta-heuristic algorithm named as the Cell Division Optimizer (CDO) is proposed. The proposed algorithm is inspired by the reproduction methods at the cellular level, which is formulated by the well-known cell division process known as mitosi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d51272e3326da8f7c9b2a6a0de4b757
https://doi.org/10.21203/rs.3.rs-984004/v1
https://doi.org/10.21203/rs.3.rs-984004/v1
Autor:
Lalit Kumar, Kusum Kumari Bharti
Publikováno v:
Natural Computing. 20:39-61
Nature is a great source of inspiration for solving complex problems in real-world. In this paper, a hybrid nature-inspired algorithm is proposed for feature selection problem. Traditionally, the real-world datasets contain all kinds of features info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f66a7d701c5d1fe302ba1da9d581a269
https://doi.org/10.1007/s11047-019-09769-z
https://doi.org/10.1007/s11047-019-09769-z
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811650772
A multi-objective discrete particle swarm optimization (MODPSO) algorithm is useful in accurately identifying communities in a network by avoiding the pitfalls of modularity optimized discrete PSO algorithms. Inertia weights in a PSO can be used to g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b605080fe3407025f31c40c03df1568
https://doi.org/10.1007/978-981-16-5078-9_25
https://doi.org/10.1007/978-981-16-5078-9_25
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811611025
CVIP (3)
CVIP (3)
Convolutional Neural Networks (CNNs) have shown enormous potential for solving multi-label image classification problems. In recent years, a lot of experimentation is done with various state-of-the-art CNN architectures. The CNN architectures have ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a426221120795bb4072ef5f918b515f
https://doi.org/10.1007/978-981-16-1103-2_20
https://doi.org/10.1007/978-981-16-1103-2_20
This book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by the National Institute of Technology, Delhi, India, during December 19–20, 2022. This bo