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11 articles for “learning occurs”
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Research ArticleOpen accessIn the keywordsDyslexia: An Altered Brain ArchitectureFelice Corona, Francesco Perrotta, Emilia Tartaglia Polcini, Carla CozzarelliProblem statement: Dyslexia is defined as a syndrome belonging to Specific Learning Disorders, DSA code F81.0. Its most visible manifestation is the difficulty that subjects have to correctly read out loud and quickly. These impediments are not due to lack of linguistic intellectual abilities, not education, or properly to external causes sensory deficits. Approach: The objective was oriented in the … …Journal of Social Sciences, Vol. 8, Issue 2 · 5 Mar 2012 · 8,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,059 accessesView PDFCite
Review ArticleOpen accessIn the abstractDeep Learning in Early Alzheimer’s Disease’s Detection: A Comprehensive Survey of Classification, Segmentation and Feature Extraction MethodsRubab Hafeez, Sadia Waheed, Syeda Aleena Naqvi et al.Alzheimer’s disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimer’s disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8-4.4 years after the first clinical indication. Advancements in computing and information technology have led to many techniques for studying Alzheimer's disease. Early identification and therapy are crucial for preventing Alzheimer's disease, as early-onset … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Customer Predictive Model for Investment Using Ensemble Learning TechniqueThongchai Kaewkiriya, Kittipol WisaengMany new investors that want to purchase a fund might be disappointed with the return-on-investment value. This problem occurs because they do not know important factors that could affect the market value. Plus, some assets might not be suitable for the investor's investment style. To reduce the mentioned problems, many asset management companies research the systems that could find a … …Journal of Computer Science, Vol. 19, Issue 6 · 25 May 2023 · 5,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractCuckoo Search Optimized Random Forest for Breast Cancer PrognosisPrasad S. Sase, Debabrata Swain, Shailesh KumarBreast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malignant tumors is therefore critical for improving patient outcomes. Conventional diagnostic practices largely depend on manual assessment and clinical expertise, which may lead to subjective variability in decision-making. To overcome this … …Journal of Computer Science, Vol. 22, Issue 1 · 31 Jan 2026 · 2,107 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis of Power Aware Congestion Control Multipath Multicast Protocol for Mobile Ad hoc NetworkDuraiswamy Karuppaswamy, Vijayaragavan ShanmugamProblem statement: In MANETs, wireless link transmission errors, mobility and congestion are major causes for packet loss. Mobility may cause packet loss in different ways. Whereas congestion in a network occurs, whenever the demands exceed the maximum capacity of a communication link especially when multiple hosts try to access a shared media simultaneously. Approach: In this study, we proposed a … …Journal of Computer Science, Vol. 6, Issue 12 · 2 Nov 2010 · 7,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeuropsychological Dysfunction among HIV Infected Drug AbusersRamani S. Durvasula, Charles H. HinkinHuman immunodeficiency virus (HIV) has been documented to cause direct and indirect central nervous system dysfunction that can be observed as a progressive decline in neuropsychological functioning in a large proportion of persons with HIV and AIDS. Neuropsychological decline in individuals with HIV is characterized by cognitive and motor slowing, attentional deficits, executive dysfunction and memory impairment (characterized by intact … …American Journal of Infectious Diseases, Vol. 2, Issue 2 · 30 Jun 2006 · 7,161 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordReview on Different Algorithms and Techniques Used in Classification of Gender in SilkwormJyoti Sharma, Pradeep ChoukseySilkworm seed is the key factor for the success of sericulture industry. Silk seed production process at grain ages centre mainly involve procuration of seed cocoon, cutting of seed cocoon for pupae, separation of male and female pupae, emergence of moth, coupling of silk moth and further egg laying by female moth. Separation of male and female is very much … …Journal of Computer Science, Vol. 21, Issue 6 · 17 Jun 2025 · 4,040 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModel Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting AlgorithmDamayanti, Sutyarso et al.Post Translational Modification (PTM) is an important mechanism involved in regulating protein function. Post-translational modification refers to the addition of covalent and enzymatic modifications of proteins in protein biosynthesis, which has an important role in modifying protein function and regulating gene expression. One of the post-translational modifications is glycosylation. Glycosylation is the addition of a sugar group to a protein … …Journal of Computer Science, Vol. 20, Issue 7 · 29 Apr 2024 · 5,560 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFACE RECOGNITION USING RELATIONSHIP LEARNING BASED SUPER RESOLUTION ALGORITHMSenthilSingh, ManikandanThe face recognition is an application which is for identifying a person from a digital image. The common problem that often occurs while identifying the face from image is due to the low resolution in images especially when it is captured from a long distance. In automated face recognition system, this has always been a challeging problem. To overcome this … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 16 Jan 2014 · 6,974 accessesView PDFCite