Research ArticleOpen accessEvery word in the titleCrop Disease Detection Using Deep Learning Techniques on ImagesKinjal Vijaybhai Deputy, Kalpdrum Passi, Chakresh Kumar JainAgriculture plays a crucial role in the economic development of many countries and sustains the global population despite facing various challenges like climate change, pollinator decline, and plant diseases. These threats to food security highlight the need for innovative solutions to prevent crop loss. Leveraging smartphone technology for automated image recognition-based disease diagnosis has emerged as a promising approach, thanks … …Journal of Computer Science, Vol. 19, Issue 12 · 25 Oct 2023 · 7,497 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCritical Study of Several MPPT Techniques for Photovoltaic SystemsBennacer El Hassouni, A. Haddi, A.G. AmraniThis paper presents a critical study of Maximum Power Point Tracking (MPPT) techniques for photovoltaic systems. After a brief introduction of the key factors for power extraction of photovoltaic panels, a review of commonly used MPPT techniques is presented and detailed with a holistic approach. Then, a comparison of these techniques is made according to several parameters such as robustness, … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 20 May 2019 · 6,257 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleA Review of Detection Techniques for Chemical Oxygen Demand in WastewaterDan Wu, Yinglu Hu, Ying LiuWater pollution is a major problem all over the world, the detection techniques of water play an important role in the evaluation of water pollution. Chemical Oxygen Demand (COD) is an important index of the evaluation of water pollution. The paper reviews the detection methods of chemical oxygen demand in wastewater, introduces the standard of chemical oxygen demand emission limit … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 27 Jan 2022 · 8,917 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleOffshore Geotechnical Problems in Deepwater Mooring Techniques for Large Floating StructuresHaixiao Liu, Zhou Li, Yuming ZhangAn effective, reliable and economic positioning technique is of great necessity for offshore large floating structures. Within all techniques of station keeping, mooring plays a vital role for large floating structures. Clear knowledge of the role and particularities of mooring systems is important to the design, operation and analysis of large floating structures especially in deep waters. The present work … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 30 Apr 2018 · 9,046 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleStatistical Binarization Techniques for Document Image AnalysisSaad M. Ismail, Siti Norul Huda Sheikh Abdullah, Fariza FauziBinarization is an important process in image enhancement and analysis. Currently, numerous binarization techniques have been reported in the literature. These binarization methods produce binary images from color or gray-level images. This article highlights an extensive review on various binarization approaches which are also referred to as thresholding methods. These methods are grouped into seven categories according to the employed … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,160 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,567 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleDefect Types and Software Inspection Techniques: A Systematic Mapping StudyEdson OliveiraJr, Ricardo Theis GeraldiSoftware inspection has been used to guarantee and control the quality of products by detecting defects, which can be spread out throughout the entire software life cycle. Therefore, the main premise is to identify and reduce the number of defect types in software artifacts during inspections. This work focuses on providing an up to dated overview of existing defects in … …Journal of Computer Science, Vol. 13, Issue 10 · 13 Oct 2017 · 7,925 accessesView PDFCite