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Research ArticleOpen accessIn the abstractImage Pre-Processing Techniques to Improve DBT Classification Accuracy With CNN ResNet-50Qodri Aziz, Slamet Riyadi et al.Digital Breast Tomosynthesis (DBT) is a three-dimensional imaging technology that is meant to determine breast cancer more accurately than regular mammograms. But low contrast and noise can make DBT images less clear, which can make deep learning-based classification less accurate. This study seeks to assess the impact of diverse preprocessing techniques on breast cancer classification outcomes utilizing the ResNet-50 Convolutional … …Journal of Computer Science, Vol. 22, Issue 10 · 21 Oct 2026 · 349 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,157 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn-Farm Phenotypic Characterization of Sheep Breeds in BotswanaKaelo Pelotshweu, Monosi Andries Bolowe, Nicodemus Pungi Mosweu et al.Phenotypic characterization data serve as a baseline for the evaluation of the effectiveness of selection programs and the development of conservation strategies. Therefore, this study aimed to phenotypically characterize Tswana, Dorper, Damara, Meat-master, and Karakul sheep breeds in Botswana under a ranch management system. Qualitative and quantitative data was collected from 595 adult sheep (one year and above). Data on … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 1 · 1 Mar 2025 · 7,311 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) AlgorithmD. Lita Pansy, M. MuraliMangoes are fruits that originated in South and Southeast Asia. Mango fruits are consumed in high volume worldwide. However, fruit, stem, root, and mango leaves are damaged by pests, and it has a significant negative impact on mango production. Many works were developed for the pest detection of mango; but, none of the works concentrated on the practical applicability and … …Journal of Computer Science, Vol. 21, Issue 1 · 3 Dec 2024 · 5,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelationship between Volumetric Water Footprint with Carcass and Meat Quality Characteristics Under Intensive Beef Cattle Production in South AfricaTinny Noluthando Macamba, Takalani Judas Mpofu, Khathutshelo Agree Nephawe et al.As water accessibility becomes more challenging due to the increasing human population and agricultural competition, it is crucial to select beef cattle with optimal water efficiency. The study aimed to investigate the relationship between volumetric water footprint with carcass and meat quality of beef cattle under an intensive production system. Thirty-three (33) beef cattle weaners of three different body frame … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 12 Oct 2024 · 4,728 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Model of Cyber Extremists' Rhetorical Structure Towards Protecting Critical InfrastructureOsman Khairunnisa, Jano Zanariah, Ahmad RabiahMuch research at present focuses on the ways in which organizations secure their networks and information in the supply chain, ignoring the ways in which organizations construct and understand the core of the cybersecurity risks. Cybersecurity focuses more on defense mechanisms such as anti-virus software, malware protection, firewall and more on securing network and application. More research to understand extremist … …Journal of Computer Science, Vol. 20, Issue 6 · 14 Mar 2024 · 5,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop 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 accessIn the abstractCattle Breeding Programs and Trait Preferences in EthiopiaMohammed Endris Seid, Kefelegn Kebede Kefenie et al.The success of livestock breeding programs depend on the active involvement of smallholder farmers, pastoralists, and agro-pastoralists in shaping breeding objectives and identifying key trait preferences based on specific production goals. This study aimed at assessing the relative importance of cattle-keeping objectives and trait preferences across mixed crop-livestock, pastoral, and agro-pastoral production systems in Ethiopia. We collected data from 180 … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 9 Jun 2025 · 4,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrimary Color Based Numerous Image Creation in Visual Cryptography with the Help of Grasshopper Algorithm, Artificial Neural Network and Elliptic Curve CryptographySurajit Goon, Debdutta Pal, Souvik DihidarThe two primary restrictions of visual cryptography methods, contract, and security are well-known. Visual cryptography is considered secure if no share reveals information about the secure picture and this image is unreachable when shares are combined. Recursion can be used in a visual cryptography method to ensure the integrity of both arguments. Sometimes, the many shares are generated illogically in … …Journal of Computer Science, Vol. 18, Issue 5 · 19 May 2022 · 6,279 accessesView PDFCite