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14 articles for “A. Sumathi”
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Research ArticleOpen accessIn the author namesMCWDRL: Multi-Cloud Workflow Scheduling Using Deep Reinforcement Learning and Improved Workflow Segmentation for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe rapid growth of cloud computing has led to complex workflow scheduling challenges in multi-cloud environments, where efficient resource utilization, minimized makespan, and reduced costs are paramount. Traditional scheduling algorithms often struggle to adapt to the dynamic nature of cloud resources and workflows, leading to suboptimal performance. To overcome this issue, the paper proposed a novel Multi-Cloud Workflow Scheduling using … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 933 accessesView PDFCite
Research ArticleOpen accessIn the author namesAnimal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning ApproachJ. Rathi, A. SumathiAccurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants attention and innovative solutions. This paper proposes a novel approach to animal condition classification, leveraging an Auto-encoder-based feature selection process and an Improved Hybrid Convolutional Neural Networks (CNN) with Bidirectional (Bi-LSTM) … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,481 accessesView PDFCite
Research ArticleOpen accessIn the author namesDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the author namesAdvanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe multi-cloud scheduling problem refers to the challenging task of efficiently allocating and managing resources across multiple cloud environments, involving the optimization of task scheduling, resource allocation to minimize makespan, reduce resource costs, and handle the complexity of multi-cloud environments while making optimal scheduling decisions. To overcome this issue. The paper proposes a novel scheduling algorithm, the Advanced Grasshopper Optimization … …Journal of Computer Science, Vol. 21, Issue 10 · 24 Nov 2025 · 2,646 accessesView PDFCite
Research ArticleOpen accessIn the author namesAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,900 accessesView PDFCite
Research ArticleOpen accessIn the author namesEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDFCite
Research ArticleOpen accessIn the author namesA MODIFIED ELLIPTIC CURVE DIGITAL SIGNATURE ALGORITHM FOR PUBLIC VERIFIABILITY WITH DATA DYNAMICS IN CLOUD COMPUTINGD. Sumathi, Ramachandra V. PujeriCloud storage is considered to be the most critical factor in decision making for users as it largely scales down the infrastructure in terms of size, cost and design. Considering factors such as local storage cost, maintenance a single server model can support multiple users on a needed basis. This raises concerns for integrity verification i.e., assuring the correctness of … …Journal of Computer Science, Vol. 10, Issue 10 · 28 Jun 2014 · 6,486 accessesView PDFCite
Research ArticleOpen accessIn the author namesEVALUATING AN AUTHENTICATED TRUST BASED ADHOC ON DEMAND DISTANCE VECTOR FOR MALICIOUS NODES ISOLATION IN MANETA. Sumathi, B. Vinayaga SundaramMANET networks are defined as the wireless self configuring networks that are capable of operating without the support of any fixed infrastructure and a central coordinator which makes the routing a complicated task. For detecting misbehaving and selfish nodes between the intermediate nodes it is essential to evaluate the Intermediate Trust Value (ITV) for each node in the network, so … …Journal of Computer Science, Vol. 10, Issue 9 · 30 Apr 2014 · 6,786 accessesView PDFCite
Research ArticleOpen accessIn the author namesAUTOMATIC TEXT EXTRACTION FROM COMPLEX COLORED IMAGES USING GAMMA CORRECTION METHODG. Gayathri Devi, C. P. SumathiThe aim of this study is to propose a new methodology for text region extraction and non text region removal from complex background colored images. This study presents a new approach based on Gamma correction by determining a gamma value for enhancing the foreground details in an image. The approach also uses gray level co-occurrence matrices, texture measures, threshold concepts. … …Journal of Computer Science, Vol. 10, Issue 4 · 24 Dec 2013 · 6,679 accessesView PDFCite
Research ArticleOpen accessIn the author namesSecure Group Key Management for Dynamic Sensor NetworksN. Suganthi, V. Sumathi, R S. MohanapriyhaProblem statement: Key management is an important cryptographic technique for providing security in a dynamic environment of sensor networks. To provide a secure communication among a group of sensor nodes keys should established in an efficient manner. We introduced an efficient and dynamic key management system for dynamic sensor networks. Approach: We pre deployed some of the keying materials in … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,743 accessesView PDFCite