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88 results for “enhancing network”
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Research ArticleOpen accessIn the abstractAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,853 accessesView PDFCite
Literature ReviewOpen accessIn the abstractReview of Blue-Green Infrastructure in Some Selected CountriesTariku Neme Afata, Seyoum Derib, Reda NemoBlue-Green Infrastructures (BGI) integrate solutions implemented to enhance water management and landscape values for more climate-resilient and livable cities. It has created an opportunity to renew the natural structure of water balance in cities and rural through the increase in rainwater retention and enlargement of permeable areas. The objective of this review is to assess the blue-green infrastructures of selected … …American Journal of Environmental Sciences, Vol. 18, Issue 4 · 4 Aug 2022 · 7,097 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractTRAFFIC CONTROLLED-DEDICATED SHORT RANGE COMMUNICATION: A SECURE COMMUNICATION USING TRAFFIC CONTROLLED DEDICATED SHORT RANGE COMMUNICATION MODEL IN VEHICULAR AD HOC NETWORKS FOR SAFETY RELATED SERVICESK. Chandramohan, P. KamalakkannanTo increase the road safety and secure communication among the vehicles in the network environment, Dedicated Short Range Communication (DSRC) is followed. Nowadays, research over DSRC is dramatically increased for enhancing the road safety applications. The main task of DSRC is to protect the vehicles by communicating the warning message regarding the vehicle changing conditions, traffic occurrence and dangers over … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 6,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractSIGNED GRAPH APPROACH IN ADAPTIVE TRANSMISSION POWER TO ENHANCE THE LIFETIME OF WIRELESS SENSOR NETWORKSA. Babu Karuppiah, S. RajaramA Wireless Sensor Network (WSN) comprises a collection of sensor nodes networked for applications like surveillance, battlefield, monitoring of habitat. Nodes in a WSN are usually highly energy-constrained and expected to operate for long periods from limited on-board energy reserves. When a node transmits data to a destination node the data is overheard by the nodes that are in the … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 13 May 2014 · 6,733 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombating Cyber Terrorism-Assessment of Log for Malicious SignaturesKamalanaban Ethala, R. SeshadriEnhancing security to the networks and preventing the cyber attacks is a major issue in all domains. In this study, a new class of cyber terrorism is addressed where mischievous and malicious behaviour is the root cause for the modification of network data stored in an open database. An attempt is made in this study to develop an algorithm that … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 7 Nov 2013 · 6,641 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study of Network Traffic Pattern and its Impact on Performance in Implementation of Web ServicesK. Velmurugan, M. A.M. MohamedProblem statement: Currently it is evident that the web service is emerging as a solution for business applications and deployment of web services witnesses exponential growth. Web services rely on networks particularly internet for implementing and consuming them in different applications. Whenever a network is involved in a software system, network traffic payload measurement and communication pattern play a key … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 1 · 27 Apr 2012 · 8,538 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Enhancement of Bayesian Inference Network for Ligand-Based Virtual Screening using Features SelectionAli Ahmed, Ammar Abdo, Naomie SalimProblem statement: Similarity based Virtual Screening (VS) deals with a large amount of data containing irrelevant and/or redundant fragments or features. Recent use of Bayesian network as an alternative for existing tools for similarity based VS has received noticeable attention of the researchers in the field of chemoinformatics. Approach: To this end, different models of Bayesian network have been developed. … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,724 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach to Classify Noises in Images Using Artificial Neural NetworkT. Santhanam, S. RadhikaProblem statement: Noise identification is predominant in any digital image processing algorithms, which helps in identifying the filters to smooth the image for further processing. Approach: An Artificial Neural Network (ANN) based approach was proposed for noise identification. The suggested technique involved seclusion of the noise samples and extracts their statistical features, which was then applied to a neural network … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,192 accessesView PDFCite