Optimizing Travel Itineraries: A Multi-Objective Machine Learning Model Approach X Samuel Roy, Titus Issac, J Sebastian Terrance Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing Icaaic 2024, 2024 A travel itinerary is a complex problem that involves multiple objectives and constraints, such as cost, time, transportation modes, and comfort levels. This research study focuses on creating a real-time eco-friendly itinerary generator by integrating machine learning techniques. This research work explores two machine-learning algorithms: Artificial Neural Networks (ANNs) and Multi-Layer Perceptron (MLP). These algorithms are evaluated for their suitability in generating user-friendly and environment-friendly itineraries. Through experimentation, the accuracy and precision of the proposed models are assessed, leading to the identification of an optimal travel planner model. The ultimate goal of this model is to provide a detailed itinerary that considers prominent modes of transportation while addressing the pressing environmental crisis. By prioritizing eco-friendly options, this approach sets itself apart from conventional travel planning tools.
Investigation of Student Engagement Monitoring System using Machine Learning Amish Abraham G, Titus Issac, J Sebastian Terrance Proceedings 2024 2nd International Conference on Inventive Computing and Informatics Icici 2024, 2024 This research study aims to enhance the intelligent classroom ecosystem by integrating the Local Binary Pattern Histogram (LBPH) algorithm with human expertise to identify students' faces. Monitoring student attentiveness is crucial for effective learning. To support this, this study uses Mediapipe to analyze students' body posture, providing insights into their engagement levels. Additionally, the proposed framework includes the Eye Aspect Ratio (EAR) Algorithm to detect signs of drowsiness and yawning. By continually refining the proposed framework, this study intends to improve intelligent classroom ecosystems, helping educators to create environments that increase student success.
Investigation of Hand Gesture Recognition and Script Generation Models M Udhayakumar, Titus Issac, J Sebastian Terance Proceedings 2024 2nd International Conference on Inventive Computing and Informatics Icici 2024, 2024 The communication between differently challenged persons especially deaf and mute persons to a common man is challenging. The research work proposes to investigate various deep learning models to enhance communication between the deaf and persons who may not know sign language. The work uses computer vision technology for real-time hand gesture identification and natural language processing to produce coherent and understandable words This article investigates the feasibility of applying deep learning techniques like convolutional neural networks, xgboost and random forest to recognize hand gestures in real-time. The models are trained on a dataset of hand gestures and are investigated to identify hand gestures in real-time. The model can recognize a wide range of hand motions, from simple ones like pointing and waving to complex ones involving several fingers. The system creates sentences that are consistent with the hand gesture's intended meaning once it has been identified. Based on established rules and grammar suggestions, the model tries to generate appropriate sentences while taking the context of the conversation into account. The proposed work would be highly beneficial to researchers and target audiences who have trouble expressing themselves in a quick, efficient way to communicate.
Investigation of Red Fox Algorithm for Solving Task Assignment Problem in Heterogeneous Unmanned Aerial Vehicle Swarm K. Manaswitha, Titus Issac, Salaja Silas, J Sebastian Terance 2024 3rd International Conference on Artificial Intelligence for Internet of Things Aiiot 2024, 2024 In recent years, there have been significant advancements in Unmanned Aerial Vehicles (UAVs), leading to their integration into everyday life. UAVs are constrained by limited energy, communication, and localization. The various challenges in UAV research include localization, routing, navigation, and task assignment. Recently, UAV swarms have been employed across a wide range of applications. This study focuses on solving task assignment problems within UAV swarms, considering the unique multi-objective resource constraints of UAVs. The work explores the feasibility of adopting the Red Fox Algorithm to address the task assignment problem in UAV swarms. The investigation examines two primary input parameters: Task Energy Demand and distance. The evaluation includes energy utilization and shortest distance as performance metrics. Notably, the proposed approach outperforms the Particle Swarm Optimization Algorithm (PSO), resulting in a 17.47% lower energy utilization while maintaining a 17.83% reduction in the shortest distance travelled. By leveraging the Red Fox Algorithm, the work aims to enhance the efficiency and effectiveness of task allocation in UAV swarms, contributing to their broader adoption across various applications.
Investigation of Grey Wolf Algorithm for Solving Heterogeneous Unmanned Aerial Vehicle Task Assignment Problem Praisy Mizpah Julia Bestus, Titus Issac, J. Sebastian Terence, T. D. Subash 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science Amathe 2024, 2024 In recent years, Unmanned Aerial Vehicles (UAVs) have become increasingly prevalent in various applications, including surveillance, monitoring, and delivery services. Efficiently assigning tasks to UAVs while optimizing multiple objectives such as distance travelled, energy consumption, and task completion time presents a complex optimization problem. To address this challenge, the approach put forward is a Multi-Objective Grey Wolf Algorithm (MOGWA) specifically tailored for solving UAV task assignment problems in a two-dimensional (2D) environment. The MOGWA is an extension of the classic Grey Wolf Algorithm (GWA), which draws inspiration from the social behaviour and hunting strategies of grey wolves. In the proposed MOGWA, UAVs are represented as individual grey wolves, and their movements are guided by principles of hierarchical leadership within a wolf pack. This allows for a balance between exploration and exploitation of the solution space, enabling efficient search for optimal task assignments. Experimental evaluations demonstrate the effectiveness of the MOGWA in finding high-quality solutions for UAV task assignment problems in 2D environments. The proposed algorithm offers a promising framework for addressing real-world challenges in UAV mission planning and optimization, particularly in scenarios where multiple conflicting objectives need to be considered simultaneously.
Malaria Detection Using Residual Network K Arun, Sebastian Terence, Titus, Jude Immaculate, Angeline Lydia 10th International Conference on Advanced Computing and Communication Systems Icaccs 2024, 2024
Machine Learning based Bitcoin Price Prediction Sebastian Terence, Jude Immaculate, Titus, Darigi Bharath Naik, Selvarathi Selvarathi Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics Icdici 2024, 2024
Violence Detection Using Convlstm and LRCN N Benjamin Studd, Sebastian Terence, Jude Immaculate, Selvarathi, Vinodh Ewards, et al. 10th International Conference on Advanced Computing and Communication Systems Icaccs 2024, 2024
Investigations on task and role assignment protocols in wireless sensor network Journal of Theoretical and Applied Information Technology, 2016
RECENT SCHOLAR PUBLICATIONS
Sign Language Converter Using CNN-DBN Framework ES Roy, T Issac 2025 International Conference on Computational Robotics, Testing and … , 2025 2025
Smart Sensing and for DP Isravel, S Silas, T Issac, JW Kathrine, EB Rajsingh Artificial Intelligence for Precision Agriculture , 2024 2024
Smart Sensing Technologies and Data Analytics for Precision Agriculture DP Isravel, S Silas, T Issac, JW Kathrine, EB Rajsingh Artificial Intelligence for Precision Agriculture, 270-291 , 2024 2024 Citations: 1
Automatic visualization of gas leakage in the domestic sector using spacial and temporal models with image processing techniques IJ Raja, SVE Sonia, CP Shirley, I Titus Signal, Image and Video Processing 18 (12), 8859-8867 , 2024 2024 Citations: 4
Investigation of Student Engagement Monitoring System using Machine Learning T Issac, JS Terrance 2024 Second International Conference on Inventive Computing and Informatics … , 2024 2024 Citations: 1
Investigation of Hand Gesture Recognition and Script Generation Models M Udhayakumar, T Issac, JS Terance 2024 Second International Conference on Inventive Computing and Informatics … , 2024 2024
Optimizing Travel Itineraries: A Multi-Objective Machine Learning Model Approach XS Roy, T Issac, JS Terrance 2024 3rd International Conference on Applied Artificial Intelligence and … , 2024 2024 Citations: 2
Investigation of Grey Wolf Algorithm for Solving Heterogeneous Unmanned Aerial Vehicle Task Assignment Problem PMJ Bestus, T Issac, JS Terence, TD Subash 2024 International Conference on Advances in Modern Age Technologies for … , 2024 2024
Investigation of Red Fox Algorithm for Solving Task Assignment Problem in Heterogeneous Unmanned Aerial Vehicle Swarm K Manaswitha, T Issac, S Silas, JS Terance 2024 3rd International Conference on Artificial Intelligence For Internet of … , 2024 2024 Citations: 2
Recognition and monitoring of gas leakage using infrared imaging technique with machine learning CP Shirley, JIJ Raja, SV Evangelin Sonia, I Titus Multimedia Tools and Applications 83 (12), 35413-35426 , 2024 2024 Citations: 8
Modelling a P-System inspired multi-objective centralized heterogeneous wireless outdoor illumination T Issac, S Silas, EB Rajsingh Journal of Ambient Intelligence and Humanized Computing 14 (3), 2935-2950 , 2023 2023 Citations: 2
COVID 19 an infectious disease influenced in modern era-recent survey in India TD Subash, TD Subha, I Titus, A Nazim, E Peter Materials Today: Proceedings 43, 3516-3525 , 2021 2021 Citations: 1
System modeling and simulation of an outdoor illumination system using a multi-layer feed-forward neural network T Issac, S Silas, EB Rajsingh Intelligence in Big Data Technologies—Beyond the Hype: Proceedings of … , 2020 2020 Citations: 2
Prototyping a scalable P-System inspired dynamic task assignment algorithm for a centralized heterogeneous wireless sensor network EBR Titus Issac, Salaja Silas Arabian Journal for Science and Engineering , 2020 2020 Citations: 3
Investigative prototyping a Tissue P system for solving distributed task assignment problem in Heterogeneous Wireless Sensor Network EBR Titus Issac, Salaja Silas Journal of King Saud University - Computer and Information Sciences 34 (6 … , 2020 2020 Citations: 5
Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks KM Sagayam, B Bhushan, AD Andrushia, VHC Albuquerque IGI Global , 2020 2020 Citations: 5
The cognitive approach in cloud computing and internet of things technologies for surveillance tracking systems D Peter, AH Alavi, B Javadi, SL Fernandes Academic Press , 2020 2020 Citations: 13
Dynamic and static system modelling with simulations of an eco-friendly smart lighting system EBR Titus Issac, Salaja Silas Systems Simulation and Modeling for Cloud Computing and Big Data Applications , 2020 2020 Citations: 8
Systems simulation and modeling for cloud computing and big data applications D Peter, SL Fernandes Academic Press , 2020 2020 Citations: 2
Investigations on PSO based task assignment algorithms for heterogeneous wireless sensor network T Issac, S Silas, EB Rajsingh 2019 2nd International Conference on Signal Processing and Communication … , 2020 2020 Citations: 10
MOST CITED SCHOLAR PUBLICATIONS
A comprehensive overview on application of trust and reputation in wireless sensor network GEP Kumar, I Titus, SI Thekkekara Procedia engineering 38, 2903-2912 , 2012 2012 Citations: 27
The cognitive approach in cloud computing and internet of things technologies for surveillance tracking systems D Peter, AH Alavi, B Javadi, SL Fernandes Academic Press , 2020 2020 Citations: 13
INVESTIGATIONS ON TASK AND ROLE ASSIGNMENT PROTOCOLS IN WIRELESS SENSOR NETWORK T ISSAC, S SILAS, EB RAJSINGH Journal of Theoretical and Applied Information Technology 89 (1), 209-219 , 2016 2016 Citations: 12
Investigations on PSO based task assignment algorithms for heterogeneous wireless sensor network T Issac, S Silas, EB Rajsingh 2019 2nd International Conference on Signal Processing and Communication … , 2020 2020 Citations: 10
Luminaire Aware Centralized Outdoor Illumination Role Assignment Scheme: A Smart City Perspective T Issac, S Silas, EB Rajsingh Advances in Big Data and Cloud Computing. Advances in Intelligent Systems … , 2018 2018 Citations: 9
Recognition and monitoring of gas leakage using infrared imaging technique with machine learning CP Shirley, JIJ Raja, SV Evangelin Sonia, I Titus Multimedia Tools and Applications 83 (12), 35413-35426 , 2024 2024 Citations: 8
Dynamic and static system modelling with simulations of an eco-friendly smart lighting system EBR Titus Issac, Salaja Silas Systems Simulation and Modeling for Cloud Computing and Big Data Applications , 2020 2020 Citations: 8
Investigative prototyping a Tissue P system for solving distributed task assignment problem in Heterogeneous Wireless Sensor Network EBR Titus Issac, Salaja Silas Journal of King Saud University - Computer and Information Sciences 34 (6 … , 2020 2020 Citations: 5
Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks KM Sagayam, B Bhushan, AD Andrushia, VHC Albuquerque IGI Global , 2020 2020 Citations: 5
Automatic visualization of gas leakage in the domestic sector using spacial and temporal models with image processing techniques IJ Raja, SVE Sonia, CP Shirley, I Titus Signal, Image and Video Processing 18 (12), 8859-8867 , 2024 2024 Citations: 4
Prototyping a scalable P-System inspired dynamic task assignment algorithm for a centralized heterogeneous wireless sensor network EBR Titus Issac, Salaja Silas Arabian Journal for Science and Engineering , 2020 2020 Citations: 3
Optimizing Travel Itineraries: A Multi-Objective Machine Learning Model Approach XS Roy, T Issac, JS Terrance 2024 3rd International Conference on Applied Artificial Intelligence and … , 2024 2024 Citations: 2
Investigation of Red Fox Algorithm for Solving Task Assignment Problem in Heterogeneous Unmanned Aerial Vehicle Swarm K Manaswitha, T Issac, S Silas, JS Terance 2024 3rd International Conference on Artificial Intelligence For Internet of … , 2024 2024 Citations: 2
Modelling a P-System inspired multi-objective centralized heterogeneous wireless outdoor illumination T Issac, S Silas, EB Rajsingh Journal of Ambient Intelligence and Humanized Computing 14 (3), 2935-2950 , 2023 2023 Citations: 2
System modeling and simulation of an outdoor illumination system using a multi-layer feed-forward neural network T Issac, S Silas, EB Rajsingh Intelligence in Big Data Technologies—Beyond the Hype: Proceedings of … , 2020 2020 Citations: 2
Systems simulation and modeling for cloud computing and big data applications D Peter, SL Fernandes Academic Press , 2020 2020 Citations: 2
Luminaire-aware dynamic illumination role assignment scheme for a safe and green smart city T Issac, S Silas, EB Rajsingh 3rd International Conference on Computing and Communication Technologies … , 2019 2019 Citations: 2
WASF — Weighted Average based Subjective Feedback system for E-healthcare services S Silas, EB Rajsingh, T Issac 2nd International Conference on Next Generation Computing Technologies (NGCT … , 2017 2017 Citations: 2
Smart Sensing Technologies and Data Analytics for Precision Agriculture DP Isravel, S Silas, T Issac, JW Kathrine, EB Rajsingh Artificial Intelligence for Precision Agriculture, 270-291 , 2024 2024 Citations: 1
Investigation of Student Engagement Monitoring System using Machine Learning T Issac, JS Terrance 2024 Second International Conference on Inventive Computing and Informatics … , 2024 2024 Citations: 1
