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18 articles for “tiny”
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Research ArticleOpen accessEvery word in the titleIMPLICATIONS OF BITSUM ATTACK ON TINY ENCRYPTION ALGORITHM AND XTEAAmandeep, G. GeethaTEA and XTEA are block ciphers that uses Fiestal structure. We enciphered a fixed message with different keys using TEA and XTEA cryptographic algorithms. Our interest was to find the correlation of the bitsum of the ciphertext with the bitsums of the corresponding keys. In our attempt, we found that for specific patterns of keys, whatever be the plaintext, the … …Journal of Computer Science, Vol. 10, Issue 6 · 3 Feb 2014 · 7,364 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSM-SCAM YOLO: Enhancing Object Detection with Multi-Scale Module and Spatial Channel Attention MechanismShanmuga Sundari Mariyappan, Kayalvizhi Mohan, K. B. K. S. DurgaDetecting tiny objects remains a significant hurdle in computer vision, primarily due to scale variation, occlusion, and the loss of detail in low-resolution features. Although YOLO-based detectors are popular for their speed and efficiency in real-time tasks, they often struggle with accurately identifying small objects because of information loss during downsampling. This study introduces an improved YOLO-based model that integrates … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,921 accessesView PDFCite
Research ArticleOpen accessIn the author namesRadial Basis Function Neural Networks Towards Electronic Trust QuantificationSmitha Zacaria, Tiny du ToitTrust is a broad term applicable in various contexts. Trust between electronic entities is complex to quantify, particularly in intricate networks. Traditional trust algorithms rely on historical trust values, requiring storage and access to past transaction details. Contextual variations further complicate trust calculation. Challenges in calculating trust include heightened computational complexities, managing information storage, and securing access to extensive datasets … …Journal of Computer Science, Vol. 20, Issue 11 · 26 Sep 2024 · 4,791 accessesView PDFCite
Research ArticleOpen accessIn the author namesAutomated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder ModelTiny Du Toit, Hennie Kruger, Annette Van Der MerweTerrain classification according to specific terrain attributes, has become increasingly important in certain decision-making scenarios. Automated robots are often utilized to traverse a specific surface to collect data that can be used in classification models to identify a specific terrain. In this study, a supervised autoencoder model (i.e., an autoencoder combined with a supervised learner such as a multilayer perceptron) … …Journal of Computer Science, Vol. 19, Issue 9 · 31 Aug 2023 · 5,019 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Framework for Computerized Progress Feedback in Tertiary EducationAnnette van der Merwe, Tiny du Toit, Hennie KrugerThe dawn of democracy in South Africa in 1994 has resulted in challenges in many fields, especially in education. University enrolment rates are high and the output quality of school learners in general is delicate which threatens the graduate quality of tertiary institutions. Contrary to rising student enrolments, the attrition rates have not improved. One contributing factor is the lack … …Journal of Computer Science, Vol. 16, Issue 3 · 28 Mar 2020 · 6,943 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Prescriptive Specialized Learning Management System for Academic Feedback towards Improved LearningAnnette van der Merwe, Tiny du Toit, Hennie KrugerThe dynamic nature of technological advances is causing changes in many fields and especially in tertiary education. Student numbers are increasing annually and institutions need to maintain education quality whilst ensuring student retention. A specialized learning management system (SLMS) was developed in this study that provides students with comprehensive feedback which will enable them to better manage their academic performance. … …Journal of Computer Science, Vol. 14, Issue 10 · 24 Oct 2018 · 7,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractShift of Zeeman Components of Ionic Spectral Lines Caused by the Angular Doppler EffectEugene OksThe angular Doppler effect was introduced by Garetz. While the usual Doppler effect is caused by the translational motion of the emitter, the angular Doppler effect is caused by the rotational motion of the emitter. It results into the frequency shift of a circularly-polarized light. In the present paper we analyze the angular Doppler effect caused by the rotational motion … …Physics International, Vol. 15, Issue 1 · 16 Jun 2025 · 6,449 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiformer Attention and ASF-YOLO for Cordyceps Sinensis Target RecognitionRu Yang, Peng Wu, Zhentao QinCordyceps sinensis, a highly valued traditional Chinese medicine, faces challenges in collection due to inefficiencies in manual searching, strenuous labor, and the impact of subjective expertise. The integration of deep learning into Cordyceps sinensis identification is an unexplored area. To alleviate the manual labor and enhance the precision and speed of identifying Cordyceps sinensis, a novel detection approach that combines … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 14 Nov 2024 · 4,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Economic System for Screening of Diabetic Retinopathy Using Fundus ImagesG.S. Annie Grace Vimala, S. Kaja MohideenDelayed length of time of the diabetes may influence the tiny blood vessels of the retina bringing about Diabetic Retinopathy (DR). It is one of the major root causes of the blindness across the globe. Routine eye screening of patients with diabetes serves to discover DR at the early stage. The conventional visual assessment protocol is time consuming and laborious. … …OnLine Journal of Biological Sciences, Vol. 14, Issue 4 · 5 Jan 2015 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractDENIAL OF SERVICE ATTACK IN DISTRIBUTED WIRELESS NETWORK BY DISTRIBUTED JAMMER NETWORK: A BIRTH-DEATH RANDOM PROCESS ANALYSISR. Dhanasekaran, G. SingaravelLarge number of low power, tiny radio jammers are constituting a Distributed Jammer Network (DJN) is used nowadays to cause a Denial of Service (DoS) attack on a Distributed Wireless Network (DWN). Using NANO technologies, it is possible to build huge number of tiny jammers in millions, if not more. The Denial of Service (DoS) attacks in Distributed Wireless Network … …Journal of Computer Science, Vol. 10, Issue 8 · 7 Mar 2014 · 6,802 accessesView PDFCite