GopalaA Reddy

Predictive analysis of drifting test cases and critical areas for enhancing embedded systems using a Gaussian distribution methodology for multi-output analysis

M. Lakshmi Prasad, R. Obulakonda Reddy, Sandeep Kautish, GopalaA Reddy et autres

Many sectors of the economy are impacted by embedded computer systems including tools, basic architecture and a range of other features that contribute to the success of these systems. It is vital to guarantee these systems’ functionality and dependability. However, instances in …

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Functional Architecture for Information Exchange in Scalable Quantum Computing

T. Sujeeth, Bala Gangadhara Gutam, D. S. Reddy, GopalaA Reddy et autres

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INTELLIGENT ANOMALY DETECTION IN MEDICAL IOT DEVICES USING AN ANN WITH ENSEMBLE LEARNING

GopalaA Reddy, P. Gayathri, Y. Shireesha, S. Madhu et autres

The widespread adoption of Internet of Things (IoT) devices in healthcare has underscored the need for intelligent systems to accurately classify device operational states. With over 60% of hospitals utilizing IoT for patient monitoring and the global medical IoT market projected to …

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INTELLIGENT THREAT DETECTION IN MOBILE EDGE NETWORKS USING MACHINE LEARNING

GopalaA Reddy, B. Shiva, B. Sai Venkat, M. Shivakumar et autres

Mobile Edge Computing (MEC) is an evolving paradigm that brings computation and data storage closer to end users, aiming to enhance the performance of mobile applications. However, the rise of MEC technologies has introduced significant security concerns, as malicious activities increasingly target …

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Real-Time Financial Fraud Detection with Autonomous Graph Neural Networks

Kunal Devidas Gaikwad, T.Gangadharan, R Prasanna Kumar, Zayd Ajzan Salami et autres

The sophistication of financial fraud has grown due to the continuous advancements in detecting financial fraud, which requires advanced detection mechanisms that are capable of real-time adaptation. Evolutionary fraud patterns pose challenges to rule-based and machine learning models such that these have …

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LCNN-AKMP: a novel lightweight convolutional neural network-based authenticated key management protocol for enhanced security in cloud-assisted IoT deployments

Asadi Srinivasulu, K. Vijaya Bhaskar, S. Rajasekaran, Shaik Mastan Vali et autres

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List of contributors

Jagdeesh Kumar Ahirwar, N. Ambika, Gayathri Ananthakrishnan, Raju Anitha et autres

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DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment

Goda Srinivasa Rao, Priyadarsan Patra, V. A. Narayana, Avala Raji Reddy et autres

The Internet of Things (IoT) network infrastructures are becoming more susceptible to distributed denial of service (DDoS) attacks because of the proliferation of IoT devices . Detecting and predicting such attacks in this complex and dynamic environment requires specialized techniques. This study …

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Evaluation of herbal methionine and Mangifera Indica against lead-induced organ toxicity in broilers

GopalaA Reddy, VykuntaV Rao, UdayaD Lakshmi, K Adilaxmamma

Lead toxicity was studied in male broiler chicks (Cobb strain) of a day-old age. The chicks were randomly divided into six groups consisting of 15 in each group. Group 1 was maintained as basal diet control and group 2 was kept on …

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Evaluation of herbal neonatal chick care against iron-induced toxicity in broilers

GopalaA Reddy, C Haritha, J Chandravathy

A study was conducted to evaluate the protective effect of herbal Neonatal Chick care (NNCC) against iron-induced oxidative stress. A total of 130 day-old sexed male broiler chicks (Vencobb strain) were randomly divided into six groups consisting of 25 chicks each in …

Hepatotoxicity studies in the progeny of pregnant dams treated With methimazole, monocrotophos and lead acetate

GopalaA Reddy, B Kalakumar, C Haritha, K Vanisthasree

An experimental study was conducted to evaluate the hepatotoxic effects in the progeny of dams treated with methimazole, monocrotophos (MCP) and lead acetate. Female pregnant albino rats of Wistar kyoto strain were divided into five groups and treated as follows, from day …

Evaluation of iron-induced oxidative stress and its amelioration by certain herbs in broilers

GopalaA Reddy, R. V. Rama Narayana Reddy, C Haritha

A total of 225 male broiler chicks (Cobb strain) of day-old age were randomly divided into 15 groups consisting of 15 chicks in each group. Group 1 was maintained as basal diet control and group 2 on ferrous sulfate at 0.5% in …

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