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Article
Investigating Data Poisoning Attacks on Cyber-Physical Systems in Smart Grids (SCM) Using Edge Computing with Blockchain and DL-Driven Advanced Approach
Fateh Bahadur Kunwar , Rakesh Kumar Yadav, , Hitendra Singh April 28, 2025 The increasing integration of smart technology in vital infrastructures, such as smart grids, raises serious concerns about their vulnerability to cyber assaults. In this study, data poisoning attacks against Cyber-Physical Systems (CPS) in smart grids are examined, with a... |
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December 11, 2021 Waste management is one of the world's most significant problems today, independent of rich or developing countries. One of the most frequent issues occurs when waste containers are fully overflowing before the following phase of cleaning starts. A smart waste disposal... |
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Review Paper
An Innovative Research of Liver Malignancy Imaging Using HFCNN Based on Deep Neural Network Model
T. Haripriya , Dr. K. Dharmarajan, , Dr. Subrata Chowdhury April 28, 2024 Liver malignancy as one of the major causes of deaths in people globally. The context of the cells for your liver, cancer called "liver cancer" develops. A football-sized organ called the liver is found in the upper right side of your belly, above your abdomen and beneath... |
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Review Paper
Greening the fields: Microbial inoculants as a catalysts for sustainable agriculture
Monika Pareek , Vanshita Kathayat, , Bhavesh joshi December 29, 2025 The pursuit of sustainable agriculture has intensified as conventional farming systems dependent on synthetic fertilizers and chemical pesticides increasingly demonstrate ecological, economic, and soil-health limitations. In this context, microbial inoculants—formulations... |
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Conference Paper
A Study on AI-Powered Dermatological Diagnosis: Advancing Deep Learning for Skin Cancer
Dr. Heena Kouser Gogi , Javeria Fathima, , Iffath Fathima, , Umme Saba May 23, 2025 One of the most common cancers in the world is still skin cancer, and better patient outcomes and efficient treatment depend on early detection. Dermatologists are essential in diagnosis, yet the accuracy of conventional techniques may be limited. In order to improve... |
