An integrated solution based approach to software development using unified reuse artifacts. - S. Srinath; K. Venkatesh; D. Janaki Ram (ACM SIGSOFT Softw. Eng. Notes, 1997)

A generic model for semantics-based versioning in projects. - S. Srinath; Ramakrishnan Raman 002; D. Janaki Ram (IEEE Trans. Syst. Man Cybern. Part A, 2000)

A Dynamic Weighted Trilateration Algorithm for Indoor Localization Using Dual-Band WiFi. - S. Mathivannan; S. Srinath; R. Shashank; R. Aravindh; Vidhya Balasubramanian (W2GIS, 2019)

Power quality enhancement in solar power with grid connected system using UPQC. - S. Poongothai; S. Srinath (Microprocess. Microsystems, 2020)

Barriers to Smart Home Technologies in India. - Justin Joy; S. Srinath; Ravinder Kumar Verma; Manish Kumar Shrivastava (TDIT (2), 2022)

ANN Based Reduced Switch Multilevel Inverter in UPQC for Power Quality Improvement. - Y. Alexander Jeevanantham; S. Srinath (Intell. Autom. Soft Comput., 2022)

Cephalometric Skeletal Structure Classification Using Convolutional Neural Networks and Heatmap Regression. - S. Rashmi; Prashanth Murthy; Vani Ashok; S. Srinath (SN Comput. Sci., 2022)

An Integrated Approach: Combining GrabCut and Contour-Matching for Hand Gesture Segmentation in Indian Sign Language. - B. V. Poornima; S. Srinath; S. Rashmi; R. Rakshitha (CVIP (1), 2023)

Automated Detection of Cracks in Asphalt Pavement Images Using Texture Descriptors and Machine Learning Classifier. - R. Rakshitha; S. Srinath; N. Vinay Kumar; S. Rashmi; B. V. Poornima (CVIP (2), 2023)

Analysis of Power Quality for Distribution Networks Using Active Compensator. - K. Naresh Kumar; S. Srinath (Intell. Autom. Soft Comput., 2023)

Performance Evaluation of Ensemble Learning Techniques for Prediction. - S. Ramya; S. Srinath; Pushpa Tuppad (CVMI, 2024)

Cephalometric landmark annotation using transfer learning: Detectron2 and YOLOv8 baselines on a diverse cephalometric image dataset. - S. Rashmi; S. Srinath; Seema Deshmukh; S. Prashanth; Karthikeya Patil (Comput. Biol. Medicine, 2024)

Ensemble learning methods with single and multi-model deep learning approaches for cephalometric landmark annotation. - S. Rashmi; S. Srinath; R. Rakshitha; B. V. Poornima (Discov. Artif. Intell., 2024)