Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Marwa A. Gaheen"'
Publikováno v:
IEEE Access, Vol 10, Pp 23304-23320 (2022)
Feature selection (FS) is an irreplaceable phase that makes data mining more efficient. It effectively enhances the implementation and decreases the computational problem of learning models. The comprehensive and greedy algorithms are not suitable fo
Externí odkaz:
https://doaj.org/article/aae43b1ff258410bb9c8d2200dc52413
Publikováno v:
Mathematics, Vol 10, Iss 21, p 4154 (2022)
Feature selection (FS) is applied to reduce data dimensions while retaining much information. Many optimization methods have been applied to enhance the efficiency of FS algorithms. These approaches reduce the processing time and improve the accuracy
Externí odkaz:
https://doaj.org/article/2bf99cc30b8e4df2afb4a8b94dabcba0
Publikováno v:
Neural Computing and Applications. 34:7437-7472
Publikováno v:
Technological Forecasting and Social Change. 192:122546
Autor:
Reham R. Mostafa, Marwa A. Gaheen, Mohamed Abd ElAziz, Mohammed Azmi Al-Betar, Ahmed A. Ewees
Publikováno v:
Knowledge-Based Systems. 269:110462
Publikováno v:
Education and Information Technologies. 26:1165-1181
A personalized system of instruction is one of the strategies to personalize instruction. It is a technique that allows the student to move from one unit to another according to his own pace and his potential. Although this system is distinguished wi
Skin lesions are an important health issue. Various techniques are applied to segment the skin lesion area from images. This chapter presents a skin lesion segmentation approach based on the elitist-Jaya optimization algorithm. The proposed method co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e185822e3777aa62d0011ed264102500
https://doi.org/10.1016/b978-0-12-821777-1.00008-2
https://doi.org/10.1016/b978-0-12-821777-1.00008-2
Autor:
Rashid Ali, Majed Alsadhan, Emmanuel Ayodele, Praveen Chakravarthy Bhallamudi, Dilip Kumar Choubey, Giuseppe Ciaburro, Anup Das, Apurba Das, Jaydeep Das, Parneeta Dhaliwal, Haytham Elmiligi, Ahmed A. Ewees, O.K. Fasil, Marwa A. Gaheen, Pardeep Garg, Isel Grau, Rahul Gupta, Sunil Kumar Hota, William H. Hsu, Enas Ibrahim, Muhammad Taimoor Khan, Sung Won Kim, Dipesh Kumar, Vijay Kumar, Yugal Kumar, Seshadri Sastry Kunapuli, Deepti Lamba, Theodore V. Maliamanis, Nirupama Mandal, Des McLernon, Pradeep Kumar Naik, Ali Nauman, Muhammad Hassan Nawaz, Ann Nowe, George A. Papakostas, Advika Parthvi, Yazdan Ahmad Qadri, Rakesh Raja, R. Rajesh, Kartik Rawal, Riya Sapra, Bikash Kanti Sarkar, Jane Scott, Dipankar Sengupta, Isha Sharma, Sunil Datt Sharma, Vijay Kumar Sharma, Rohit Shukla, Vaibhav Shukla, S.S. Shylaja, Tiratha Raj Singh, Ravi B. Srivastava, Wenhan Tan, Abdalrahman Tawhid, Tanya Teotia, Arvind Kumar Yadav, Syed Ali Raza Zaidi, Zhiqiang Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb49c03c9de37fe199dfd8435a829d95
https://doi.org/10.1016/b978-0-12-821777-1.09991-2
https://doi.org/10.1016/b978-0-12-821777-1.09991-2
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030346133
This paper presents a method based on natural language processing (NLP) for single Arabic document summarization. The suggested method based on the extractive method to select the most valuable information in the document. However, working with Arabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::820c905f20c95b0a48f2dab4b0a891d4
https://doi.org/10.1007/978-3-030-34614-0_2
https://doi.org/10.1007/978-3-030-34614-0_2
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811389412
Head-pose estimation considers the most popular area of research. Estimating the head pose variation in the correct way from faces shots is an essential step for building interactive vision-based applications. In this work, a head-pose estimation sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::395dea92cc2547954794c8b9af306e28
https://doi.org/10.1007/978-981-13-8942-9_61
https://doi.org/10.1007/978-981-13-8942-9_61