Search Results - "Parameshachari, B. D."

A Modified ABC-SQP-Based Combined Approach for the Optimization of a Parallel Hybrid Electric Vehicle by Shivappriya, S. N., Karthikeyan, S., Prabu, S., Pérez de Prado, R. Pérez de, Parameshachari, B. D.

“…In this paper, an improved fuel consumption and emissions control strategy based on a mathematical and heuristic approach is presented to optimize Parallel…”
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Blockchain-Enabled Decentralized Edge Intelligence for Trustworthy 6G Consumer Electronics by Wang, Xin, Shankar, Achyut, Li, Keqin, Parameshachari, B. D., Lv, Jianhui

“…As 6G communication technology advances, there is a growing trend of incorporating blockchain technology, which has already demonstrated its effectiveness in…”
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Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function by Shivappriya, S. N., Priyadarsini, M. Jasmine Pemeena, Stateczny, Andrzej, Puttamadappa, C., Parameshachari, B. D.

“…Object detection is an important process in surveillance system to locate objects and it is considered as major application in computer vision. The Convolution…”
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Retraction Note: Cognitive linear discriminant regression computing technique for HTTP video services in SDN networks by Parameshachari, B. D., Gurumoorthy, Sasikumar, Frnda, Jaroslav, Nelson, S. Christalin, Balmuri, Kavitha Rani

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Resource Optimized Selective Image Encryption of Medical Images Using Multiple Chaotic Systems by Kiran, P, Parameshachari, B.D

“…Medical images typically contain personal and diagnostic information about patients and are typically shared among hospitals, doctors, and patients via public…”
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Ultra-low power wearables by Parameshachari, B. D., Rocha, Álvaro, Fung, Chun Che Lance

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Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients by Subramani, Prabu, K, Srinivas, B, Kavitha Rani, R, Sujatha, B.D, Parameshachari

“…Many Coronavirus disease 2019 (COVID-19) and post-COVID-19 patients experience muscle fatigues. Early detection of muscle fatigue and muscular paralysis helps…”
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Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT by Liu, Wei, Zhao, Feng, Shankar, Achyut, Maple, Carsten, Peter, J Dinesh, Kim, Byung-Gyu, Slowik, Adam, Parameshachari, B.D., Lv, Jianhui

“…Medical image analysis plays a crucial role in healthcare systems of Internet of Medical Things (IoMT), aiding in the diagnosis, treatment planning, and…”
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RETRACTED ARTICLE: Cognitive linear discriminant regression computing technique for HTTP video services in SDN networks by Parameshachari, B. D., Gurumoorthy, Sasikumar, Frnda, Jaroslav, Nelson, S. Christalin, Balmuri, Kavitha Rani

“…In recent times, the service providers and the operators are facing the problems like visual quality degradations and frequent interruptions during video…”
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Augmented Intelligence of Things for Priority-Aware Task Offloading in Vehicular Edge Computing by Wang, Xin, Lv, Jianhui, Slowik, Adam, Kim, Byung-Gyu, Parameshachari, B. D., Li, Keqin, Feng, Gang

“…Vehicular edge computing (VEC) systems face challenges in providing real-time intelligent transportation services due to limited computing resources at VEC…”
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YOLO Network Based Intelligent Municipal Waste Management in Internet of Things by Ghatkamble, Rajlakshmi, D, Parameshachari B, Pareek, Piyush Kumar

“…It's becoming more worrying that unchecked urban garbage buildup might lead to environmental contamination and potential health risks for city dwellers. People…”
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Comparative Analysis of Handwritten Text Recognition using CNN and SVM by D, Parameshachari B, Ashok, Alka, Reddy, Haripriya

“…Handwritten Character Recognition (HCR) is an active area of research in the recognition domain. Many handwritten character recognition systems have been put…”
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Car Black Box System for Accident Analysis using IoT by L, Charana P, Kavya, Veekshitha, D, Parameshachari B

“…The main objective of this paper is to develop a prototype of a Black Box system that can be installed in any vehicle. The system aims to monitor both the…”
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Effective CBMIR System Using Hybrid Features-Based Independent Condensed Nearest Neighbor Model by Praveena, Hirald Dwaraka, Guptha, Nirmala S., Kazemzadeh, Afsaneh, Parameshachari, B. D., Hemalatha, K. L.

“…In recent times, a large number of medical images are generated, due to the evolution of digital imaging modalities and computer vision application. Due to…”
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Novel Ultrasonic Image Reconstruction and Deep Learning Model-Based Categorization for Accurate Liver Disease Diagnosis by S, Nijaguna G, Sureddy, Sneha, BinduMadhavi, Mohapatra, Dayanidhi, D, Parameshachari B

“…The diagnosis of liver illnesses is critical for efficient treatment and management of the condition. By combining deep learning model-based classification…”
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Design of NBW-MHO with BERT model for prediction of Breast Cancer in IoT Healthcare System by Ghatkamble, Rajlakshmi, Pareek, Piyush Kumar, D, Parameshachari B

“…The key to successful early recovery and treatment of breast cancer in today's healthcare system is an accurate and prompt diagnosis. Over the last several…”
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Chaotic Grey Wolf Optimization for Energy-Efficient Clustering and Routing in Wireless Sensor Networks by Almusawi, Muntather, Ravindran, Gobinath, B D, Parameshachari, Bhasker, B., N L, Lavanya

“…Wireless Sensor Networks (WSNs), the imperative challenge of energy efficiency takes center stage. This paper delves into inventive methodologies to combat…”
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Demand side management of small scale loads in a smart grid using glow-worm swarm optimization technique by Puttamadappa, C, Parameshachari, BD

“…Demand Side Management (DSM) is one of the most important parts of future smart power grid. With the rise in global energy awareness, smart grids enhance the…”
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Enhancing Segmentation of Abdominal Aortic Aneurysms in CT Images by Saleem Javeed, Abdul, K M, Veeresh, V N, Ganesh, Lavanya, Chunduri, B D, Parameshachari

“…This study concentrates on a potential strategy for improving Abdominal aortic aneurysms (AAAs) segmentation in CT imaging. The study's dataset included 19 CT…”
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A Comprehensive Study and Detection of Colon Cancer Cells Through Image Scaling for Medical Applications by J, Monica, S G, Arya, S, Naveen, B D, Parameshachari

“…The integration of neural networks in colon cancer detection signifies a significant change in medical diagnostics, specifically in dealing with the…”
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