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94 articles for “block-by-block method”
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EditorialOpen accessIn the abstractEditorial Commentary: Challenge of Non–AIDS-Defining Cancers (NADCs), Focusing on Trans Activation Response Element (TAR) RNA Embedding ExosomesLechuang Chen, Ge JinGlobally, 37.9 million people were living with HIV at the end of 2018 (Organization, 2018). Cancer is a major cause of mortality and morbidity in AIDS patients and chronically HIV-infected people. With the aid of combination Antiretroviral Therapy (ART), people living with HIV (PLWH) have a longer life span. However, because the virus is not completely eradicated, PLWH under antiretroviral … …American Journal of Immunology, Vol. 15, Issue 1 · 28 Nov 2019 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecure Symmetric Block Cipher Design for Encrypting the Bitcoin Wallets in Cryptocurrencies ApplicationsOmar A. Dawood, Othman I. Hammadi, Falath M. MohammedThis paper proposes a new symmetric secret-key cipher for construction of block cipher model. This new approach is considered as a smart step that can be applied to the long process research of modern designing methods used in developing earlier symmetric algorithms. The present cipher can encrypt block lengths of 128-bit by employing Substitution-Permutation Network (SPN) structure. The present cipher … …Journal of Computer Science, Vol. 15, Issue 5 · 1 Jun 2019 · 8,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadiometric Invariant Dense Disparity Estimation for Real Time Stereo CorrespondenceDeepambika V. A., M. Abdul RahimanComputer stereo vision tries to mimic human vision by grabbing multiple views of the same scene and cognizing it. The stereo correspondence will find out the matching pixels between the two views based on the Lambertian criteria, which results in disparity. The distance of the objects from the camera can be calculated using this disparity. But in the real world … …Journal of Computer Science, Vol. 15, Issue 4 · 11 Apr 2019 · 7,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Cloud-Based Approach for Privacy-Preserving Medical Image Retrieval: Leveraging Local Features and PCA in Two Efficient StepsM Geetha Yadav, SP ChokkalingamThe major challenges of content-based image retrieval are searching, ranking, and retrieving in secure mode. In this article, we propose a two-step security approach for each database image, utilizing encryption mechanisms and cloud technology. In this approach, the watermark-embedded encrypted images, along with the efficient feature vector database and the list of authenticated users, will be stored in the cloud. … …Journal of Computer Science, Vol. 20, Issue 12 · 4 Nov 2024 · 4,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractEcofriendly Management of Two Spotted Spider Mites on Tomato (Solanum lycopersicum (Mill.) in Eastern EthiopiaBelachew DabaloOne of the most widely grown vegetable crops in Ethiopia is the tomato (Solanum lycopersicon). Two Spotted Spider Mites (TSSM) are the primary pests that pose a threat to tomato production in Eastern Ethiopia. Synthetic pesticides remain the primary method of controlling TSSM, but because of the pest's high fecundity, inbreeding, arrhenotokous reproduction, high mutation rate, and short life cycle, … …American Journal of Agricultural and Biological Sciences, Vol. 19, Issue 1 · 12 Oct 2024 · 6,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on Cotton Top Bud Target Detection Algorithm Based on Improved RetinaNetJikui Zhu, Shijie Lin, Fengkui Zhang et al.To solve the problems of low accuracy and high miss rate in the recognition of cotton apical buds during mechanical topping, an enhanced method based on the RetinaNet network is proposed for the accurate identification of cotton apical buds under natural light. The traditional RetinaNet algorithm is validated to improve the recall rate and average accuracy of cotton apical bud … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 17 Apr 2024 · 5,128 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn Sacco and in vitro Evaluation of Heating and Formaldehyde Treated Protein FeedAnnisa Rosmalia, Idat Galih Permana, Despal, Toto ToharmatMassive protein conversion into ammonia in the Rumen (RDP) should be avoided to prevent protein quality deterioration. Heating and formaldehyde treatments are commonly used to decrease Rumen-Degradable Protein (RDP), but it rarely used to protect local feed. We aimed to compare the effectiveness of heating and formaldehyde treatments in decreasing the RDP of local feed. The use of fistulated cattle, … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 1 · 12 Feb 2024 · 6,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Rumen Bioprocess through The Addition of Phosphorus and Sulfur Minerals on Ammoniated Palm Leaves and Fronds (Elaeis Guineensis Jacq.)Suyitman, Lili Warly, James Hellyward, Roni PazlaThis research aims to determine the optimal dosage of Phosphorus (P) and Sulfur (S) minerals for rumen microbial fermentative activity. The research method used an experimental method with a factorial randomized block design (3×3) with three repetitions for mineral P and S. P was the first factor with three dose levels, namely Po = 0.0%, P1 = 0.27% and P2 … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 4 · 22 Oct 2021 · 6,352 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer DetectionAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarEarly detection of lung cancer remains challenging due to high intra-class variation and inter-class similarity in Computed Tomography (CT) images. In this paper, we propose a hybrid deep learning model that combines convolutional, attention-based, and transformer-guided representations to address these challenges in multi-class lung cancer classification. For deep feature extraction, we use the EfficientNetV2-S architecture augmented with a Convolutional Block … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jun 2026 · 1,528 accessesView PDFCite