RAJ VIKRAM

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Computer Engineering, Hardware and Architecture, Computer Science Applications

Scopus Publications

• A Survey of Forest Fire Surveillance Strategy and Challenges Using the WSN Paradigm
  Raj Vikram, Vikash Kumar
  Emerging Trends in Artificial Intelligence Based Iot Techniques Applications and Security, 2025
  Nature is the most valuable aspect of humanity. Many civilizations and cultures have flourished in the lap of nature. The forest is the most beautiful treasure in nature. It always fulfills the basic needs of the lives of the earth’s dwellers. Today, the forests are depleting quickly. The major cause behind this is forest fires or wildfires. An uncontrollable fire either occurs naturally or due to human interruption or any other disturbance caused by nature that may or may not be suppressed by artificial control. A fire broke out in the Amazon rainforest in 2021 and had a significant impact on this planet. Researchers have measured the impacts of wildfire on the habitats of 14,000 species of plants and animals, finding that 93% to 95% suffered from some consequences of the fires. In 2020, Australia’s forest fires caught the world’s attention. Wildfires are a major challenge for humans in today’s time. Early identification of forest fires is the only way to mitigate the risk of damage. Researchers are working on various techniques to detect the fire early. Several existing approaches, like wireless sensor networks, machine learning, and remote sensing, are used to identify wildfires. Some researchers are using UAVs to identify forest fires. In most cases, the researchers are focused only on prediction using some environmental parameters sensed by the sensors or images captured by the satellites. This paper highlights the various challenges in the prediction of forest fires using the WSN paradigm.
• Deep Learning Techniques for Anomaly Detection in Biomedical Wireless Sensor Networks for Health Monitoring Systems
  Raj Vikram, Rahul Priyadarshi, Ravi Ranjan Kumar
  2nd International Conference on Cognitive Green and Ubiquitous Computing IC Cgu 2025, 2025
• An AI-Based Energy-Efficient Framework for Smart City Applications Using Wireless Sensor Networks
  Raj Vikram, Rahul Priyadarshi, Ravi Ranjan Kumar
  2nd International Conference on Cognitive Green and Ubiquitous Computing IC Cgu 2025, 2025
• Blockchain and IoT-Based Smart Agriculture Supply Chain Management
  Rishikesh, Raj Vikram, Arpita Srivastava
  Emerging Trends in Artificial Intelligence Based Iot Techniques Applications and Security, 2025
  Blockchain is a widely recognized technology that has grown in prominence over time. It first gained popularity due to its use in Bitcoin. Because of its reliable security features, blockchain has been extensively employed in a variety of domains. The agricultural supply chain is one field where blockchain can be especially useful, as it provides benefits such as data immutability, transparency, and the ability to disregard middlemen. As a consequence of this, academics are working hard to figure out how to build a smart infrastructure for supply chain management that combines the security of blockchain with the promise of the Internet of Things (IoT). The primary goal of this study is to examine the structure and relationships of all entities participating in the agricultural supply chain. Smart contracts are crucial in such an environment. They are used to facilitate secure and automated interactions between various parties, such as farmers and consumers, farmers and delivery workers, and farmers and quality control authorities. These smart contracts ensure that every participant works in a coordinated manner. We used the remix IDE and the solidity programming language's smart contracts to create this solution. We compared blockchain transaction submission messages and node communications during the implementation phase. Customer messages, in particular, tend to be larger due to the inclusion of additional information such as registration, verification, purchase placing, and order confirmation. The authority's messages, on the other hand, are the smallest, as they merely demand the product's initial rating. This research intends to develop a robust and efficient agricultural supply chain management system that benefits all stakeholders by using the potential of blockchain technology and integrating IoT.
• An Ensemble Approach Towards Liver Disease Prediction Using Machine Learning Techniques
  Sanchita Mohanty, Raj Vikram, Adyasha Rath, Ganapati Panda
  International Conference on Artificial Intelligence and Emerging Technologies Icaiet 2025, 2025
• ConvFormer: A Hybrid CNN-Transformer Architecture for Efficient Brain Tumor Recognition in MRI Scans
  Soumyarashmi Panigrahi, Dibya Ranjan Das Adhikary, Gaurav Mishra, Prabhat Dansena, Raj Vikram
  2nd International Conference on Cognitive Green and Ubiquitous Computing IC Cgu 2025, 2025
• A fast (CNN + MCWS-transformer) based architecture for protein function prediction
  Abhipsa Mahala, Ashish Ranjan, Rojalina Priyadarshini, Raj Vikram, Prabhat Dansena
  Statistical Applications in Genetics and Molecular Biology, 2025
  The transformer model for sequence mining has brought a paradigmatic shift to many domains, including biological sequence mining. However, transformers suffer from quadratic complexity, i.e., O(l 2), where l is the sequence length, which affects the training and prediction time. Therefore, the work herein introduces a simple, generalized, and fast transformer architecture for improved protein function prediction. The proposed architecture uses a combination of CNN and global-average pooling to effectively shorten the protein sequences. The shortening process helps reduce the quadratic complexity of the transformer, resulting in the complexity of O((l/2)2). This architecture is utilized to develop PFP solution at the sub-sequence level. Furthermore, focal loss is employed to ensure balanced training for the hard-classified examples. The multi sub-sequence-based proposed solution utilizing an average-pooling layer (with stride = 2) produced improvements of +2.50 % (BP) and +3.00 % (MF) when compared to Global-ProtEnc Plus. The corresponding improvements when compared to the Lite-SeqCNN are: +4.50 % (BP) and +2.30 % (MF).
• Blockchain-Based Secured LEACH Protocol (BSLEACH)
  Shubham Kant Ajay, Ditipriya Sinha, Raj Vikram, Ayan Kumar Das, Ramjee Prasad
  Wireless Personal Communications, 2024
• Enhancing Coverage in Wireless Sensor Networks Using Machine Learning Techniques
  Rahul Priyadarshi, Raj Vikram, ZeKun Huang, Tiansheng Yang, Rajkumar Singh Rathore
  Interdisciplinary Conference on Electrics and Computer Intcec 2024, 2024
  Wireless Sensor Networks (WSNs) are essential for tracking environmental and physical variables in a range of applications. One of the biggest challenges in WSN deployment is still achieving excellent coverage while preserving energy. In this work, we provide a unique machine learning-based method to improve WSN coverage efficiency. Our technique minimizes energy consumption and delivers better coverage by dynamically modifying sensor node placement tactics depending on current environmental data. The results of the experiments confirm the efficacy of the suggested methodology and underscore its practicability for implementation in many applications that need extensive coverage in ever-changing settings.
• Multi-Objective Optimization for Coverage and Connectivity in Wireless Sensor Networks
  Rahul Priyadarshi, Raj Vikram, ZeKun Huang, Tiansheng Yang, Rajkumar Singh Rathore
  2024 13th International Conference on Modern Circuits and Systems Technologies Mocast 2024 Proceedings, 2024
  As wireless sensor networks (WSNs) make real-time data collecting and analysis possible, they are essential to many applications. WSNs must strike a balance between connection and coverage goals in order to operate at peak efficiency. In this work, we provide a multi-objective optimization strategy specifically designed for WSN deployment: MOO-BWSND. We show via extensive testing that, as compared to single-objective optimization techniques, MOO-BWSND is successful in enhancing coverage, connection, throughput, latency, and reliability all at once. Our research emphasizes how crucial it is to take connection and coverage into account when designing WSNs in order to improve network performance in a variety of deployment scenarios.
• A Triangle-Based Localization Scheme in Wireless Multimedia Sensor Network
  Rahul Priyadarshi, Raj Vikram
  Wireless Personal Communications, 2023
• A multimodal framework for Forest fire detection and monitoring
  Raj Vikram, Ditipriya Sinha
  Multimedia Tools and Applications, 2023
• FogFire: fog assisted IoT enabled forest fire management
  Raj Vikram, Ditipriya Sinha
  Evolutionary Intelligence, 2023
• Energy Efficient Cluster Head Selection Mechanism Using Fuzzy Based System in WSN (ECHF)
  Nripendra Kumar, Ditipriya Sinha, Raj Vikram
  Lecture Notes in Electrical Engineering, 2023
• PAFF: predictive analytics on forest fire using compressed sensing based localized Ad Hoc wireless sensor networks
  Raj Vikram, Ditipriya Sinha, Debashis De, Ayan Kumar Das
  Journal of Ambient Intelligence and Humanized Computing, 2021
• EEFFL: energy efficient data forwarding for forest fire detection using localization technique in wireless sensor network
  Raj Vikram, Ditipriya Sinha, Debashis De, Ayan Kumar Das
  Wireless Networks, 2020
• Localization of sensors in WSN during Emergency Services (LSWES)
  Raj Vikram, Ditipriya Sinha, Rina Kumari, Rajib Ghosh
  2018 Conference on Information and Communication Technology Cict 2018, 2018

RECENT SCHOLAR PUBLICATIONS

• Blockchain and IoT-Based Smart Agriculture Supply Chain Management
  R Vikram, A Srivastava
  Emerging Trends in Artificial Intelligence Based IoT: Techniques … , 2025
  2025
• A Survey of Forest Fire Surveillance Strategy and Challenges Using the WSN Paradigm
  R Vikram, V Kumar
  Emerging Trends in Artificial Intelligence Based IoT: Techniques … , 2025
  2025
• Influence of Two Forms of Chlorhexidine on the Accuracy of Working Length Determination using Different Generation Apex Locators: An Experimental Study.
  R SUNDARAVARADHAN, RA KUMARI, J SOMASUNDARAM, ...
  Journal of Clinical & Diagnostic Research 19 (12) , 2025
  2025
• Deep Learning Techniques for Anomaly Detection in Biomedical Wireless Sensor Networks for Health Monitoring Systems
  R Vikram, R Priyadarshi, RR Kumar
  2025 International Conference on Cognitive, Green and Ubiquitous Computing … , 2025
  2025
• ConvFormer: A Hybrid CNN-Transformer Architecture for Efficient Brain Tumor Recognition in MRI Scans
  S Panigrahi, DRD Adhikary, G Mishra, P Dansena, R Vikram
  2025 International Conference on Cognitive, Green and Ubiquitous Computing … , 2025
  2025
• An AI-Based Energy-Efficient Framework for Smart City Applications Using Wireless Sensor Networks
  R Vikram, R Priyadarshi, RR Kumar
  2025 International Conference on Cognitive, Green and Ubiquitous Computing … , 2025
  2025
• Clinical evaluation of bioactive composite resin in class V lesions in high-risk caries patients: A randomized split-mouth trial
  A Rao, R Anithakumari, MS Adarsha, ME Sudhanva, R Vikram, NN Kumar
  Journal of Conservative Dentistry and Endodontics 28 (9), 905-910 , 2025
  2025
  Citations: 3
• An Ensemble Approach Towards Liver Disease Prediction Using Machine Learning Techniques
  S Mohanty, R Vikram, A Rath, G Panda
  2025 International Conference on Artificial intelligence and Emerging … , 2025
  2025
• A fast (CNN+ MCWS-transformer) based architecture for protein function prediction
  A Mahala, A Ranjan, R Priyadarshini, R Vikram, P Dansena
  Statistical Applications in Genetics and Molecular Biology 24 (1) , 2025
  2025
  Citations: 2
• Blockchain-Based Secured LEACH Protocol (BSLEACH)
  SK Ajay, D Sinha, R Vikram, AK Das, R Prasad
  Wireless Personal Communications 138 (2), 1055-1097 , 2024
  2024
  Citations: 4
• A quantitative comparison of apically extruded debris during root canal preparation using NiTi full-sequence rotary and single-file rotary systems: An in vitro study
  P Goel, R Vikram, R Anithakumari, MS Adarsha, ME Sudhanva
  Endodontology 36 (3), 235-239 , 2024
  2024
• Multi-objective optimization for coverage and connectivity in wireless sensor networks
  R Priyadarshi, R Vikram, ZK Huang, T Yang, RS Rathore
  2024 13th International Conference on Modern Circuits and Systems … , 2024
  2024
  Citations: 15
• Enhancing coverage in wireless sensor networks using machine learning techniques
  R Priyadarshi, R Vikram, ZK Huang, T Yang, RS Rathore
  2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC), 1-6 , 2024
  2024
  Citations: 23
• A triangle-based localization scheme in wireless multimedia sensor network
  R Priyadarshi, R Vikram
  Wireless Personal Communications 133 (1), 525-546 , 2023
  2023
  Citations: 15
• Monitoring of corrosion in the pipeline of a distribution network using weight loss method and image processing technique
  S Kumar, R Singh, NS Maurya, R Vikram
  Journal of Materials Engineering and Performance 32 (19), 8731-8737 , 2023
  2023
  Citations: 16
• A multimodal framework for forest fire detection and monitoring
  R Vikram, D Sinha
  Multimedia Tools and Applications 82 (7), 9819-9842 , 2023
  2023
  Citations: 20
• FogFire: fog assisted IoT enabled forest fire management
  R Vikram, D Sinha
  Evolutionary Intelligence 16 (1), 329-350 , 2023
  2023
  Citations: 10
• Energy Efficient Cluster Head Selection Mechanism Using Fuzzy Based System in WSN (ECHF)
  N Kumar, D Sinha, R Vikram
  International Conference on Machine Intelligence and Signal Processing, 733-743 , 2022
  2022
  Citations: 1
• Continuous soft chelation in endodontics
  R Kamin, R Vikram, P Ashwini
  RGUHS Journal of Dental Sciences 14 (2), 9-15 , 2022
  2022
  Citations: 3
• Effect of pulpal floor perforation repair on biomechanical response of mandibular molar: A finite element analysis
  A Airsang, MS Adarsha, N Meena, R Vikram, V Gowda, SA Harti
  Journal of Conservative Dentistry and Endodontics 24 (5), 502-507 , 2021
  2021
  Citations: 8

MOST CITED SCHOLAR PUBLICATIONS

• EEFFL: energy efficient data forwarding for forest fire detection using localization technique in wireless sensor network
  R Vikram, D Sinha, D De, AK Das
  Wireless Networks 26 (7), 5177-5205 , 2020
  2020
  Citations: 59
• Enhancing coverage in wireless sensor networks using machine learning techniques
  R Priyadarshi, R Vikram, ZK Huang, T Yang, RS Rathore
  2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC), 1-6 , 2024
  2024
  Citations: 23
• A multimodal framework for forest fire detection and monitoring
  R Vikram, D Sinha
  Multimedia Tools and Applications 82 (7), 9819-9842 , 2023
  2023
  Citations: 20
• Monitoring of corrosion in the pipeline of a distribution network using weight loss method and image processing technique
  S Kumar, R Singh, NS Maurya, R Vikram
  Journal of Materials Engineering and Performance 32 (19), 8731-8737 , 2023
  2023
  Citations: 16
• PAFF: predictive analytics on forest fire using compressed sensing based localized Ad Hoc wireless sensor networks
  R Vikram, D Sinha, D De, AK Das
  Journal of Ambient Intelligence and Humanized Computing 12 (2), 1647-1665 , 2021
  2021
  Citations: 16
• Multi-objective optimization for coverage and connectivity in wireless sensor networks
  R Priyadarshi, R Vikram, ZK Huang, T Yang, RS Rathore
  2024 13th International Conference on Modern Circuits and Systems … , 2024
  2024
  Citations: 15
• A triangle-based localization scheme in wireless multimedia sensor network
  R Priyadarshi, R Vikram
  Wireless Personal Communications 133 (1), 525-546 , 2023
  2023
  Citations: 15
• Effect of final irrigating solutions on penetration depth of resin-based sealers into dentinal tubules
  R Kamin, R Vikram, N Meena, RA Kumari, MS Adarsha, CS Murthy
  Journal of Conservative Dentistry and Endodontics 24 (4), 374-378 , 2021
  2021
  Citations: 15
• FogFire: fog assisted IoT enabled forest fire management
  R Vikram, D Sinha
  Evolutionary Intelligence 16 (1), 329-350 , 2023
  2023
  Citations: 10
• Effect of pulpal floor perforation repair on biomechanical response of mandibular molar: A finite element analysis
  A Airsang, MS Adarsha, N Meena, R Vikram, V Gowda, SA Harti
  Journal of Conservative Dentistry and Endodontics 24 (5), 502-507 , 2021
  2021
  Citations: 8
• A comparative assessment of apical debris extrusion by various glide path establishing endodontic instruments: An: in vitro: study
  VP Anshida, ME Sudhanva, R Vikram, VS Gowda
  Saudi Endodontic Journal 11 (2), 235-239 , 2021
  2021
  Citations: 7
• Blockchain-Based Secured LEACH Protocol (BSLEACH)
  SK Ajay, D Sinha, R Vikram, AK Das, R Prasad
  Wireless Personal Communications 138 (2), 1055-1097 , 2024
  2024
  Citations: 4
• Clinical evaluation of bioactive composite resin in class V lesions in high-risk caries patients: A randomized split-mouth trial
  A Rao, R Anithakumari, MS Adarsha, ME Sudhanva, R Vikram, NN Kumar
  Journal of Conservative Dentistry and Endodontics 28 (9), 905-910 , 2025
  2025
  Citations: 3
• Continuous soft chelation in endodontics
  R Kamin, R Vikram, P Ashwini
  RGUHS Journal of Dental Sciences 14 (2), 9-15 , 2022
  2022
  Citations: 3
• A fast (CNN+ MCWS-transformer) based architecture for protein function prediction
  A Mahala, A Ranjan, R Priyadarshini, R Vikram, P Dansena
  Statistical Applications in Genetics and Molecular Biology 24 (1) , 2025
  2025
  Citations: 2
• Energy Efficient Cluster Head Selection Mechanism Using Fuzzy Based System in WSN (ECHF)
  N Kumar, D Sinha, R Vikram
  International Conference on Machine Intelligence and Signal Processing, 733-743 , 2022
  2022
  Citations: 1
• Localization of sensors in WSN during Emergency Services (LSWES)
  R Vikram, D Sinha, R Kumari, R Ghosh
  2018 Conference on Information and Communication Technology (CICT), 1-6 , 2018
  2018
  Citations: 1
• Blockchain and IoT-Based Smart Agriculture Supply Chain Management
  R Vikram, A Srivastava
  Emerging Trends in Artificial Intelligence Based IoT: Techniques … , 2025
  2025
• A Survey of Forest Fire Surveillance Strategy and Challenges Using the WSN Paradigm
  R Vikram, V Kumar
  Emerging Trends in Artificial Intelligence Based IoT: Techniques … , 2025
  2025
• Influence of Two Forms of Chlorhexidine on the Accuracy of Working Length Determination using Different Generation Apex Locators: An Experimental Study.
  R SUNDARAVARADHAN, RA KUMARI, J SOMASUNDARAM, ...
  Journal of Clinical & Diagnostic Research 19 (12) , 2025
  2025