Results 31 to 40 of about 125,053 (147)
Weed Detection Using SVMs [PDF]
Engineering, Technology & Applied Science Research, 2018 The major concern in Pakistani agriculture is the reduction of growing weed. This research aims to provide a weed detection tool for future agri-robots. The weed detection tool incorporates the use of machine-learning procedure explicitly implementing Support Vector Machines (SVMs) and blob analysis for the effective classification of crop and weed ...
Sadia Murawwat +3 more
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ارزیابی یادگیری ماشین و سنجش از دور در تخمین تبخیر و تعرق مرجع [PDF]
مدیریت آب و آبیاریتبخیر و تعرق مرجع (ETo) یکی از اساسیترین متغیرها در تعیین نیاز آبی محصول و برنامهریزی و طراحی سامانههای آبیاری است. مدلهای یادگیری ماشین برای رفع محدودیتهای مدلهای تجربی و برآورد تبخیر تعرق (ET) توسعه داده شدهاند.
جوانشیر عزیزی مبصر +2 more
doaj +1 more source
A comprehensive study on comparison of Long short-term memory, Support Vector Machine, and their hybrid model performance using erratic cryptocurrency data [PDF]
ITM Web of ConferencesPrediction of relatively accurate cryptocurrency prices remains a big challenge due to the high volatility inherently associated with it and the absence of appropriate valuation metrics.
Hegde Bhumika Prakash, U Roopa
doaj +1 more source
Journal of Intelligent Systems, 2023 Recognizing written languages using symbols written in cuneiform is a tough endeavor due to the lack of information and the challenge of the process of tokenization.
Mahmood Maha +3 more
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Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches 100,000 people worldwide. In this consequence, it is very much essential to identify the infected
Prabira Kumar Sethy +3 more
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Sensing-aware kernel SVM [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 We propose a novel approach for designing kernels for support vector machines (SVMs) when the class label is linked to the observation through a latent state and the likelihood function of the observation given the state (the sensing model) is available.
Ding, Weicong +3 more
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Elektronika ir Elektrotechnika, 2020 This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from speech signals, and the other – our
Muhammet Pakyurek +3 more
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Climate induced migration and internal displacement in rural India
Discover EnvironmentThis study rigorously explores the profound impacts of climate change on human migration patterns, specifically through the lens of climate-induced forced migration and internal displacement within rural India, as exemplified by Meenakshipuram in Tamil ...
Prasanta Moharaj +2 more
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Enhancing Missing Data Imputation for Migrants Data: A Neutrosophic Set-Based Machine Learning Approach [PDF]
Neutrosophic Sets and SystemsThis study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets.
Doaa A. Abdo +3 more
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Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images [PDF]
Computer Science Journal of MoldovaThis study presents an approach to optimize cervical cancer classification using Support Vector Machines (SVM) and an improved Genetic Algorithm (GA) on Pap smear images.
S. Umamaheswari +3 more
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