An Energy-Efficient Layered Clustering Algorithm for Routing in Wireless Sensor Networks. - P. J. A. Alphonse; Sivaraj Chinnasamy 001; T. N. Janakiraman (Int. J. Distributed Syst. Technol., 2017)

Independent Neighbour Set based Clustering Algorithm for Routing in Wireless Sensor Networks. - Sivaraj Chinnasamy 001; P. J. A. Alphonse; T. N. Janakiraman (Wirel. Pers. Commun., 2017)

Attribute based encryption in cloud computing: A survey, gap analysis, and future directions. - Praveen Kumar Premkamal; Syam Kumar Pasupuleti; P. J. A. Alphonse (J. Netw. Comput. Appl., 2018)

Anthropometric based Real Height Estimation using Multi layer peceptron ANN architecture in surveillance areas. - K. V. Sriharsha; P. J. A. Alphonse (ICCCNT, 2019)

A method for obtaining authenticated scalable and efficient group key agreement for wireless ad-hoc networks. - P. J. A. Alphonse; Venkatramana Reddy Y (Clust. Comput., 2019)

Track-sector-tree clustering scheme for dense wireless sensor networks. - Naveen Jegan; P. J. A. Alphonse; Sivaraj Chinnasamy 001 (Clust. Comput., 2019)

Scalable and secure group key agreement for wireless ad-hoc networks by extending RSA scheme. - P. J. A. Alphonse; Venkatramana Reddy Y (Concurr. Comput. Pract. Exp., 2019)

Efficient revocable CP-ABE for big data access control in cloud computing. - Praveen Kumar Premkamal; Syam Kumar Pasupuleti; P. J. A. Alphonse (Int. J. Secur. Networks, 2019)

A new verifiable outsourced ciphertext-policy attribute based encryption for big data privacy and access control in cloud. - Praveen Kumar Premkamal; Syam Kumar Pasupuleti; P. J. A. Alphonse (J. Ambient Intell. Humaniz. Comput., 2019)

An Improved Authentication and Security on Efficient Generalized Group Key Agreement Using Hyper Elliptic Curve Based Public Key Cryptography for IoT Health Care System. - S. Kavitha; P. J. A. Alphonse; Venkatramana Reddy Y (J. Medical Syst., 2019)

NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets. - Jagadeesh M. S.; Alphonse P. J. A. (W-NUT@EMNLP, 2020)

NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets. - Jagadeesh M. S.; Alphonse P. J. A. (CoRR, 2020)

Efficient Escrow-free CP-ABE with Constant Size Ciphertext and Secret Key for Big Data Storage in Cloud. - Praveen Kumar Premkamal; Syam Kumar Pasupuleti; P. J. A. Alphonse (Int. J. Cloud Appl. Comput., 2020)

Depth Perception in a Single RGB Camera Using Body Dimensions and Centroid Property. - P. J. A. Alphonse; K. V. Sriharsha (Traitement du Signal, 2020)

3D grid clustering scheme for wireless sensor networks. - Naveen Jegan; P. J. A. Alphonse; Sivaraj Chinnasamy 001 (J. Supercomput., 2020)

A Comparative Study on TF-IDF Feature Weighting Method and Its Analysis Using Unstructured Dataset. - Mamata Das; Selvakumar Kamalanathan; P. J. A. Alphonse (COLINS, 2021)

Markov Clustering Algorithms and Their Application in Analysis of PPI Network of Malaria Genes. - Mamata Das; P. J. A. Alphonse; Selvakumar Kamalanathan (IDAACS, 2021)

COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets. - Sree Jagadeesh Malla; Alphonse P. J. A. (Appl. Soft Comput., 2021)

Depth estimation from a single RGB image using target foreground and background scene variations. - P. J. A. Alphonse; K. V. Sriharsha (Comput. Electr. Eng., 2021)

An intelligent and robust conditional privacy preserving authentication and group-key management scheme for vehicular ad hoc networks using elliptic curve cryptosystem. - Seshu Babu Pulagara; P. J. A. Alphonse (Concurr. Comput. Pract. Exp., 2021)

Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice. - Kranthi Kumar Lella; P. J. A. Alphonse (CoRR, 2021)

A literature review on COVID-19 disease diagnosis from respiratory sound data. - Kranthi Kumar Lella; P. J. A. Alphonse (CoRR, 2021)

Dynamic traceable CP-ABE with revocation for outsourced big data in cloud storage. - Praveen Kumar Premkamal; Syam Kumar Pasupuleti; P. J. A. Alphonse (Int. J. Commun. Syst., 2021)

Vision based distance estimation from single RGB camera using field of view and magnification measurements -an AI based non triangulation technique for person distance estimation in surveillance areas... - P. J. A. Alphonse; K. V. Sriharsha (J. Intell. Fuzzy Syst., 2021)

Enhanced attribute based access control with secure deduplication for big data storage in cloud. - Praveen Kumar Premkamal; Syam Kumar Pasupuleti; Abhishek Kumar Singh; P. J. A. Alphonse (Peer-to-Peer Netw. Appl., 2021)

Energy-Aware Multilevel Clustering Scheme for Underwater Wireless Sensor Networks. - Sivaraj Chinnasamy 001; Naveen Jegan; P. J. A. Alphonse; Chandramohan Dhasarathan; G. Sambasivam (IEEE Access, 2022)

Tree based Ensemble for Enhanced Prediction (TEEP) of epileptic seizures. - A. Anandaraj; P. J. A. Alphonse (Intell. Data Anal., 2022)

An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms. - Mamata Das; P. J. A. Alphonse; Selvakumar Kamalanathan (CoRR, 2023)

Two Novel Approaches to Detect Community: A Case Study of Omicron Lineage Variants PPI Network. - Mamata Das; Selvakumar Kamalanathan; P. J. A. Alphonse (CoRR, 2023)

Analyzing and Comparing Omicron Lineage Variants Protein-Protein Interaction Network Using Centrality Measure. - Mamata Das; K. Selvakumar 001; P. J. A. Alphonse (SN Comput. Sci., 2023)

Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets. - Sree Jagadeesh Malla; Kranthi Kumar Lella; P. J. A. Alphonse (Artif. Intell. Medicine, 2023)

Causal aware parameterized quantum stochastic gradient descent for analyzing marketing advertisements and sales forecasting. - Manoranjan Gandhudi; G. R. Gangadharan; P. J. A. Alphonse; Velayudham Ganesan; Leeladhar Nagineni (Inf. Process. Manag., 2023)

Depth perception in single camera system using focus blur and aperture number. - Divakar Keshri; K. V. Sriharsha; P. J. A. Alphonse (Multim. Tools Appl., 2023)

SEC-ROAM: Secure and Efficient Roaming in LoRaWAN v1.1. - S. S. Sravan; Susmita Mandal; P. J. A. Alphonse (COMSNETS, 2024)

Explainable hybrid quantum neural networks for analyzing the influence of tweets on stock price prediction. - Manoranjan Gandhudi; Alphonse P. J. A.; Ugo Fiore; G. R. Gangadharan (Comput. Electr. Eng., 2024)

Explainable causal variational autoencoders based equivariant graph neural networks for analyzing the consumer purchase behavior in E-commerce. - Manoranjan Gandhudi; Alphonse P. J. A.; Padmavathy Velayudham; Leeladhar Nagineni; G. R. Gangadharan (Eng. Appl. Artif. Intell., 2024)

LIO-PAY: Sustainable low-cost offline payment solution. - S. S. Sravan; Susmita Mandal; P. J. A. Alphonse (Electron. Commer. Res. Appl., 2024)

A computational geometric learning approach for person axial and slanting depth prediction using single RGB camera. - K. V. Sriharsha; P. J. A. Alphonse (Multim. Tools Appl., 2024)

Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN. - Kranthi Kumar Lella; Jagadeesh M. S.; P. J. A. Alphonse (Health Inf. Sci. Syst., 2024)

Using computational fluid dynamics and deep learning for leak detection and localization in a smart water management system. - C. Pandian; P. J. A. Alphonse (Discov. Comput., 2024)

Dynamic customer behavior prediction in subscription services using causal reinforcement learning. - Manoranjan Gandhudi; Alphonse P. J. A.; Vasanth Velayudham; Leeladhar Nagineni; G. R. Gangadharan (Eng. Appl. Artif. Intell., 2025)

SDSMS-LoRa: secure dynamic session key management scheme for LoRaWAN v1.1. - S. S. Sravan; Susmita Mandal; P. J. A. Alphonse (J. Supercomput., 2025)

A Partial Offline Payment System for Connecting the Unconnected Using Internet of Things: A Survey. - S. S. Sravan; Susmita Mandal; P. J. A. Alphonse; P. L. Ramesh (ACM Comput. Surv., 2025)

VWFTS-PSO: a novel method for time series forecasting using variational weighted fuzzy time series and particle swarm optimization. - Ganesh Didugu; Manoranjan Gandhudi; P. J. A. Alphonse; G. R. Gangadharan (Int. J. Gen. Syst., 2025)