標(biāo)題: Titlebook: Optimization in Machine Learning and Applications; Anand J. Kulkarni,Suresh Chandra Satapathy Book 2020 Springer Nature Singapore Pte Ltd. [打印本頁(yè)] 作者: 浮標(biāo) 時(shí)間: 2025-3-21 17:03
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書(shū)目名稱(chēng)Optimization in Machine Learning and Applications讀者反饋學(xué)科排名
作者: 侵害 時(shí)間: 2025-3-21 23:21 作者: arcane 時(shí)間: 2025-3-22 04:22 作者: 鎮(zhèn)痛劑 時(shí)間: 2025-3-22 08:18 作者: AMOR 時(shí)間: 2025-3-22 12:17 作者: curettage 時(shí)間: 2025-3-22 15:41
Mrunalini Jadhav,Kanchan Khare,Sayali Apte,Rushikesh Kulkarnithe major threatening water source from the coal seam floor.?In order to accomplish safe mining of the deep coal resources under water pressure,?the research on utilization and grouting reconstruction technology of the TOL is extremely urgent and imperative.作者: Inelasticity 時(shí)間: 2025-3-22 18:58 作者: brassy 時(shí)間: 2025-3-22 22:07
Santosh Kumar Biswal,Nikhil Kumar Goudaing the water–energy–food nexus through emergy is proposed and exemplified. In this respect, emergy is an expression of all the energy used in the work processes that generate a service (water, energy, or food) in units of one type of energy (emjoules).作者: 瑪瑙 時(shí)間: 2025-3-23 03:28
Shaik Mahammad,E. S. Gopi,Vineetha Yogeshin addition to the characteristics of the reservoir and the operation of the dam, a principal component analysis EOF is performed to prioritize the variables that must be included in the operation policy of the dam. With the satellite images recorded every 15?min, the precipitation intensities of th作者: 河潭 時(shí)間: 2025-3-23 09:19
ing the water–energy–food nexus through emergy is proposed and exemplified. In this respect, emergy is an expression of all the energy used in the work processes that generate a service (water, energy, or food) in units of one type of energy (emjoules).作者: BLANC 時(shí)間: 2025-3-23 11:13
Meeta Kumar,Anand J. Kulkarni,Suresh Chandra Satapathy作者: Mingle 時(shí)間: 2025-3-23 14:39 作者: 吝嗇性 時(shí)間: 2025-3-23 21:55 作者: 印第安人 時(shí)間: 2025-3-24 00:17 作者: indigenous 時(shí)間: 2025-3-24 06:10 作者: Fibroid 時(shí)間: 2025-3-24 06:59
A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization techniques has received a great attention among researchers to solve real-world problems. The ML techniques are combined with nature-inspired optimization techniques to optimize the solution to solve any problem. In this chapter, work related to two well-known nature-inspired optimization a作者: 看法等 時(shí)間: 2025-3-24 14:28
A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means and the cohort intelligence (CI) algorithm to optimize cluster formation. CI is a robust optimization metaheuristic belonging to the class of socio-inspired optimizers (Kumar M, Kulkarni A Socio-cultural inspired metaheuristics, pp 1–28, Springer International Publishing, 2019 [.]), motivated from self作者: 健談的人 時(shí)間: 2025-3-24 16:48 作者: Maximize 時(shí)間: 2025-3-24 19:46 作者: 裝入膠囊 時(shí)間: 2025-3-25 00:09
Roulette Wheel Selection-Based Computational Intelligence Technique to Design an Efficient Transmisce of policies designed based on different computational intelligence techniques is evaluated and compared by considering outage or packet drop probability as the performance metric. In this paper, we are proposing a new intuitive but effective computational technique that uses roulette wheel (RW) s作者: Encapsulate 時(shí)間: 2025-3-25 06:04 作者: 微不足道 時(shí)間: 2025-3-25 09:00
https://doi.org/10.1007/978-981-15-0994-0Optimization; Machine Learning; Metaheuristics; Heuristics; Classification; algorithm analysis and proble作者: motivate 時(shí)間: 2025-3-25 12:07 作者: Distribution 時(shí)間: 2025-3-25 16:31 作者: 松軟無(wú)力 時(shí)間: 2025-3-26 00:01 作者: CODE 時(shí)間: 2025-3-26 00:11 作者: Provenance 時(shí)間: 2025-3-26 05:52 作者: 細(xì)菌等 時(shí)間: 2025-3-26 10:34 作者: 暫時(shí)休息 時(shí)間: 2025-3-26 13:51
A Package Including Pre-processing, Feature Extraction, Feature Reduction, and Classification for Mification of binary subsets usually provides more precision in the classification. This is the reason for developing a new algorithm for tumor classification with high precision. In this paper, we propose a framework for classification of 900 magnetic resonance images (MRI). The algorithm includes f作者: 虛情假意 時(shí)間: 2025-3-26 19:37 作者: Orchiectomy 時(shí)間: 2025-3-26 23:40
A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optieal-world problem, availability of quality data to build and validate models and most importantly availability of required software supports. It has a great scope in several areas such as banking and financial services, government services, education, health care and transportation. The most importa作者: Exposition 時(shí)間: 2025-3-27 01:58
A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means and curable type of cancer if identified at initial stages. With major advances in research in the areas of image processing, data mining and clustering and machine learning, a more precise prognosis and prediction of breast cancer are possible at earlier stages. A fuzzy clustering model is a popular mo作者: 別炫耀 時(shí)間: 2025-3-27 06:17 作者: tendinitis 時(shí)間: 2025-3-27 11:32 作者: Cantankerous 時(shí)間: 2025-3-27 16:41
Artificial Intelligence in Journalism: A Boon or Bane?,of artificial intelligence (AI) and machine learning has redefined the implications of technologies in numerous fields. The field of journalism is no exception to it. The rise of the robot reporter and automated journalism has made inroads in the area of news and journalism [.]. As of today, digital作者: acolyte 時(shí)間: 2025-3-27 18:55 作者: SHOCK 時(shí)間: 2025-3-27 23:26 作者: angiography 時(shí)間: 2025-3-28 04:21 作者: MUT 時(shí)間: 2025-3-28 07:19 作者: Grievance 時(shí)間: 2025-3-28 10:51 作者: 盡責(zé) 時(shí)間: 2025-3-28 17:53
Souad Taleb Zouggar,Abdelkader Adla asks if one can transform one .-path vertex cover into another via a sequence of .-path vertex covers where each intermediate member is obtained from its predecessor by applying a given reconfiguration rule exactly once. We investigate the computational complexity of . . from the viewpoint of graph作者: ventilate 時(shí)間: 2025-3-28 19:05 作者: COMMA 時(shí)間: 2025-3-28 23:47 作者: 擴(kuò)張 時(shí)間: 2025-3-29 06:51 作者: 鑲嵌細(xì)工 時(shí)間: 2025-3-29 11:18
Santosh Kumar Biswal,Nikhil Kumar Goudathe world, as global projections indicate that the demand for water, energy, and food will significantly increase over the next few decades. Mexico will confront several challenges given the simultaneous pressures of population growth, urbanization, climate variability, and climate change. Therefore作者: Innovative 時(shí)間: 2025-3-29 14:46 作者: CHYME 時(shí)間: 2025-3-29 19:06 作者: 整理 時(shí)間: 2025-3-29 22:23 作者: Abnormal 時(shí)間: 2025-3-30 01:19
2524-7565 eference resource for researchers and practitioners in acadeThis book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing p
