A Review of Advanced 5G Antenna Designs Using Intelligent Computational Models G Nithya, A Ameelia Roseline International Journal of Computational Intelligence and Applications, 2026 This paper proposes a survey and critical analysis of recent advancements in antenna design for fifth-generation (5G) communication systems. It thoroughly examines the integration of machine learning (ML), deep learning (DL) and intelligent optimization techniques for enhancing antenna performance. Different architectures like Massive MIMO, phased arrays and beam forming frameworks are compared in structural design, operational mechanisms and implementation challenges. A quantitative comparison of various methods shows trends and differences in spectral efficiency, throughput, latency, connectivity and signal quality. The analysis reveals that AI-assisted optimization significantly improves adaptability, interference control and computational efficiency. The study concludes with insights into current limitations and provides directions for future research toward energy-efficient, self-adaptive and intelligence-driven antenna systems for next-generation 5G and beyond networks.
A Novel Blockchain Framework for Digital Twin Security: Enhancing Privacy Through Optimized Key Generation Lakshmi B, Ameelia Roseline A Transactions on Emerging Telecommunications Technologies, 2026 Digital twin technology has emerged as a key innovation in digitalization, gaining significant attention for its wide applicability across space and manufacturing industries. Its primary goal is to enable efficient command execution and secure data access, empowering users within a virtual environment. Digital twins support various functions, such as real‐time monitoring, data analysis, and synchronized operations. However, despite their growing adoption, critical issues related to data privacy and security within digital twin systems remain underexplored. To address this, the article introduces an advanced optimization algorithmic technique, Chronological_Fossa Optimization Algorithm_Secure Key Generation (CFOA_Seckeygen), for generating an optimal key to improve the security and privacy of data stored in a digital twin environment with a blockchain framework. Towards this, different entities, like the twin manager, data owner, database server, and data user, are involved in the authentication process, which is executed by considering different functions, like Exclusive OR (XOR) operations, cryptographic hashing, encryption, and keys. Following this, a secret key is generated using CFOA_Seckeygen to increase security as well as the privacy of digital twin data. Furthermore, the CFOA_Seckeygen model demonstrates superior performance, achieving a communication cost of 3007.556, memory usage of 43.876 MB, a normalized variance of 0.885, and a conditional privacy score of 0.886.
Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks V. Kandasamy, A. Ameelia Roseline Scientific Reports, 2025 The growing number of connected devices in smart home environments has amplified security risks, particularly from Man-in-the-Middle (MitM) attacks. These attacks allow cybercriminals to intercept and manipulate communication streams between devices, often remaining undetected. Traditional rule-based methods struggle to cope with the complexity of these attacks, creating a need for more advanced, adaptive intrusion detection systems. This research introduces the AEXB Model, a hybrid deep learning approach that combines the feature extraction capabilities of an AutoEncoder with the classification power of XGBoost. By combining these complementary methods, the model enhances detection accuracy and significantly reduces false positives. The AEXB Model's methodology encompasses robust preprocessing steps, including data cleaning, scaling, and dimensionality reduction, followed by comprehensive feature engineering and selection techniques, such as Recursive Feature Elimination (RFE) and correlation analysis. By applying this approach to the Intrusion Detection in Smart Home (IDSH) dataset, the model achieves an impressive 97.24% accuracy, demonstrating its effectiveness in identifying anomalous network behavior indicative of MitM attacks. Additionally, the model's real-time detection capabilities allow for rapid responses to threats, thus providing continuous protection in dynamic smart home environments.
Enhanced thermal management and energy efficiency in electronic processor cooling using MWCNT-LA NEPCM heat sink with U-tube heat pipes S. Kalaiselvam, A. Lakshmi Kanthan Bharathi, A. Ameelia Roseline Next Energy, 2025 This study investigates the efficiency of a multi-walled carbon nanotube-infused lauric acid (MWCNT-LA) heatsink with U-tube heat pipes filled with n-pentane for electronic processor cooling. Experimental evaluations were conducted under varying heat loads and filling ratios to assess processor stability and energy efficiency. The investigation focused on energy savings, the thermal resistance of different heat pipe-assisted heatsink modules with multi-walled carbon nanotube-infused lauric acid phase change material, with its regeneration time, and optimal heat pipe filling ratio. Results showed that the MWCNT-LA heat sink module with 50% n-pentane filling performed best under higher heat loads, achieving the lowest thermal resistance of 0.63 °C/W at 50% filling ratio and 75% heat load. This design was 3.58 times more effective than the unfilled heat pipe version and achieved 78% energy savings with minimal cooling fan energy consumption. The developed heat sink design improves thermal management by utilizing latent heat storage and enhancing heat transport efficiency through the heat pipe, thus optimizing thermal performance, heat dissipation, and temperature regulation. These improvements increased the operational reliability and energy efficiency of processors in data center cooling applications. • Multi-walled carbon nanotubes embedded in lauric acid phase change material. • Nano-embedded phase change material-filled finned heat sink. • Nano-embedded phase change material heat sink increases operating time by 3.58 times. • Lower thermal resistance of 0.63 °C•W −1 at 50% filling ratio and 75% heat load. • Fifty percent is the optimum filling ratio for U-tube heat pipe.
Secured Blockchain With Adaptive Bi-GRU-Based Authentication and Optimal Key-Based Fully Homomorphic Encryption Framework in Digital Twin Environment Lakshmi B, Ameelia Roseline A Transactions on Emerging Telecommunications Technologies, 2025 The business and industry significantly utilize digital twin technology, so it gained lots of attention in recent years; data produced from actual resources are sent to a distant server in digital twin environments, which use digital twins in a virtual setting to run simulations. However, using digital twin technology in real life poses several difficulties. Finding a way to safely communicate the simulation's real‐time data and data sharing is one of the most significant challenges. Sensitive information pertaining to data owners may be incorporated into the data produced by physical assets, and data leak to enemies might result in major privacy issues. To optimize the accessibility of digital twin data, data sharing with other data users must additionally be taken into account. To resolve these issues, an efficient framework is introduced in this research work with deep learning and encryption standards. Initially, a novel deep learning‐based blockchain authentication scheme named Adaptive Bidirectional Gated Recurrent Unit (Ada‐Bi‐GRU) is implemented in the digital twin environment. The Updated Random Parameter‐Aided Hippopotamus Optimization Algorithm (URP‐HOA) tunes the attributes of the Ada‐Bi‐GRU. Hence, the security against different attacks is improved by the proposed Ada‐Bi‐GRU. Next, security issues in the blockchain authentication scheme are resolved by considering a novel privacy preservation technique in the digital twin environment. In this privacy preservation phase, the developed framework employed the Optimal Key‐Based Fully Homomorphic Encryption (OK‐FHE) mechanism. In this, the keys are generated optimally utilizing the enhanced HOA technique. Later, the effectiveness of the developed model is validated by comparison.
Development of language education optimisation algorithm and adaptive shuffle attention Net-V2 for classification of breast cancer V. Anitha, Murugavalli Subramaniam, A. Ameelia Roseline International Journal of Ad Hoc and Ubiquitous Computing, 2025 The digital breast tomosynthesis (DBT) model is proposed as an innovative tomographic model for reducing the challenges in existing mammography models. However, the manual processing of the enormous volume of breast cancer photos makes the early identification of breast cancer from tomosynthesis images still difficult due to the possibility of humans. As a result, an automated and effective breast cancer classification method is created employing deep learning techniques. The tomosynthesis images are collected from various benchmark datasets. The gathered images from the tomosynthesis are given to the hybrid convolution (3D/2D)-based dilated transformer-based residual UNet (HCDTRU) model for segmentation. The segmented breast cancer images are now fed to the adaptive shuffle AttentionNetV2 (ASANV2) for classification. The effective breast cancer classification is done with the optimisation of the parameters in the developed ASANV2 framework. The parameters in the ASANV2 framework are tuned utilising the adaptive updated language education process optimisation (AU-LEO) algorithm.
The Synergistic Effect of Graphene Oxide in Polymer Flooding with Surfactant for Enhanced Oil Recovery Sustainability in Chemical Processes Through Digitalization and Green Chemistry Approaches, 2024
Nitrogen-Doped Porous Carbon Electrodes with Ionic Gel Electrolytes for Super Capacitive Energy Storage Sustainability in Chemical Processes Through Digitalization and Green Chemistry Approaches, 2024
Novel triband double layer patch antenna International Journal of Microwave and Optical Technology, 2011
RECENT SCHOLAR PUBLICATIONS
An innovative hybrid ANN inception model for detecting and preventing man-in-the-middle attacks in smart networks for shielding sensitive data V Kandasamy, AA Roseline Scientific Reports , 2026 2026
Adaptive Clustering and Trust-Based Hybrid Butterfly-Chameleon Swarm Algorithm for Secure and Efficient Routing in MANETs FA Jenefer, AA Roseline INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 39 (7) , 2026 2026
A Novel Blockchain Framework for Digital Twin Security: Enhancing Privacy Through Optimized Key Generation B Lakshmi, AA Roseline TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES 37 (1) , 2026 2026
Securing SDON with hybrid evolutionary intrusion detection system: An ensemble algorithm for feature selection and classification J Benitha Christinal, A Ameelia Roseline Optical Fiber Technology 93, 104206 , 2025 2025 Citations: 9
Secured Blockchain with Adaptive Bi-GRU-based Authentication and Optimal Key-based Fully Homomorphic Encryption Framework in Digital Twin Environment LB Ameelia Roseline A Transactions on Emerging Telecommunications Technologies 36 (7) , 2025 2025 Citations: 1
Development of Language Education Optimisation Algorithm and Adaptive Shuffle Attention Net-V2 for Classification of Breast cancer AAR V. Anitha , Murugavalli Subramaniam International Journal of Ad Hoc and Ubiquitous Computing 49 (1), 21-42 , 2025 2025
Parametric design and performance analysis of hexagonal patch antenna at 19.4GHz S Murugesan, S Tangimi, N Mohan, P Vijayan, AR Arulandhusamy AIP Conference Proceedings 3175 (1), 030007 , 2025 2025
An intelligent framework of VVC-based video compression and bit rate reduction using vision transformer-based adaptive residual attention densenet D Padmapriya, A Ameelia Roseline Signal, Image and Video Processing 19 (3), 206 , 2025 2025 Citations: 2
Enhancing Outpatient Medical Care Services Through SDN Cloud-Based Appointment Scheduling and Secure Data Management C benitha J, AA Roseline IEEE 16th International Conference on Computational Intelligence and … , 2025 2025
Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks V Kandasamy, AA Roseline Scientific Reports 15 (1), 1697 , 2025 2025 Citations: 50
Future prospects of 6G wireless communication: review of antenna technologies A Roseline A, PM Kumar Discover Electronics 1 (1), 36 , 2024 2024 Citations: 10
A ViT‐Based Adaptive Recurrent Mobilenet With Attention Network for Video Compression and Bit‐Rate Reduction Using Improved Heuristic Approach Under Versatile Video Coding D Padmapriya, A Roseline A Computational Intelligence 40 (6), e70014 , 2024 2024 Citations: 1
Adaptive Transformer-Based Multi-Modal Image Fusion for Real-Time Medical Diagnosis and Object Detection R Dineshkumar, AA Roseline, T V, R Kanth, J Nirmaladevi, G Ravi IJCESEN, International Journal of Computational and Experimental Science and … , 2024 2024 Citations: 5
Predictive Analytics for Mental Health Crises using Social Media Data with Attention Mechanism based Support Vector Machine Classification M Al-Farouni, J Jeyasudha, VN Sree, R Venkatasubramanian, ... 2024 First International Conference on Software, Systems and Information … , 2024 2024
Trip Booking and Reservation Systems in Trip Operation System Website AR Arulandhusamy, A Vasu, A VinothKumar, D Kumaran, E Muthusamy TIJER – INTERNATIONAL RESEARCH JOURNAL 11 (7), 890-899 , 2024 2024
Improved breast cancer classification approach using hybrid deep learning strategies for tumor segmentation V Anitha, M Subramaniam, AA Roseline Sensing and Imaging 25 (1), 31 , 2024 2024 Citations: 6
Nitrogen-Doped Porous Carbon Electrode with an Ionic Gel Electrolyte for Super Capacitive Energy Storage KS Mercy Jacquline B, Ameelia Roseline A Sustainability in Chemical Processes through Digitalization and Green … , 2024 2024
The Synergistic Effect of Graphene Oxide in Polymer Flooding with Surfactant for Enhanced Oil Recovery KS Bhuvanesh M, Ameelia Roseline A Sustainability in Chemical Processes through Digitalization and Green … , 2024 2024
A novel hash based feature descriptors for content based image retrieval in large database K Lalitha, S Murugavalli, AA Roseline Journal of Intelligent & Fuzzy Systems 45 (6), 9955-9964 , 2023 2023 Citations: 2
GIZMO COP-An Intelligent Security Device for Women Safety with Machine Learning AR Arulandhusamy, A Sadiq, AV Venugopal, HPH Murugan, ... 6th International Conference on Intelligent Computing (ICIC-6 2023), 70-76 , 2023 2023
MOST CITED SCHOLAR PUBLICATIONS
Enhanced thermal performance and study the influence of sub cooling on activated carbon dispersed eutectic PCM for cold storage applications SI Hussain, R Dinesh, AA Roseline, S Dhivya, S Kalaiselvam Energy and Buildings 143, 17-24 , 2017 2017 Citations: 119
Performance analysis of heat pipe aided NEPCM heat sink for transient electronic cooling KRS Kumar, R Dinesh, AA Roseline, S Kalaiselvam Microelectronics Reliability 73, 1-13 , 2017 2017 Citations: 62
Bifunctional nanoencapsulated eutectic phase change material core with SiO2/SnO2 nanosphere shell for thermal and electrical energy storage S Kalaiselvam Materials & Design 154, 291-301 , 2018 2018 Citations: 59
Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks V Kandasamy, AA Roseline Scientific Reports 15 (1), 1697 , 2025 2025 Citations: 50
Experimental investigation on heat transfer behavior of the novel ternary eutectic PCM embedded with MWCNT for thermal energy storage systems R Dinesh, SI Hussain, A Roseline A, S Kalaiselvam Journal of Thermal Analysis and Calorimetry 145 (6), 2935-2949 , 2021 2021 Citations: 41
Preparation and thermophysical properties of water–glycerol mixture-based CuO nanofluids as PCM for cooling applications S Harikrishnan, AA Roseline, S Kalaiselvam IEEE transactions on nanotechnology 12 (4), 629-635 , 2013 2013 Citations: 41
Enhanced performance of a patch antenna using spiral-shaped electromagnetic bandgap structures for high-speed wireless networks A Ameelia Roseline, K Malathi, AK Shrivastav IET microwaves, antennas & propagation 5 (14), 1750-1755 , 2011 2011 Citations: 38
Compact dual-band patch antenna using spiral shaped electromagnetic bandgap structures for high speed wireless networks AA Roseline, K Malathi AEU-International Journal of Electronics and Communications 66 (12), 963-968 , 2012 2012 Citations: 37
Enhancement of thermal conductivity and thermal stability of capric-lauric acid eutectic phase change material using carbonaceous materials S Imran Hussain, A Ameelia Roseline, S Kalaiselvam Materials Research Express 6 (11), 115605 , 2019 2019 Citations: 33
Effect of SiO 2 nanospheres on mechanical, thermal and water absorption behaviours of luffa-coir/epoxy hybrid composites K Anbukarasi, SI Hussain, AA Roseline, S Kalaiselvam Materials Research Express 6 (12), 125618 , 2019 2019 Citations: 16
Emerging trends in computing and expert technology DJ Hemanth, VDA Kumar, S Malathi, O Castillo, B Patrut Springer Nature , 2019 2019 Citations: 13
Future prospects of 6G wireless communication: review of antenna technologies A Roseline A, PM Kumar Discover Electronics 1 (1), 36 , 2024 2024 Citations: 10
Securing SDON with hybrid evolutionary intrusion detection system: An ensemble algorithm for feature selection and classification J Benitha Christinal, A Ameelia Roseline Optical Fiber Technology 93, 104206 , 2025 2025 Citations: 9
Thermal performance of cement mortar embedded with microencapsulated phase change materials in Indian subcontinental climatic conditions: S. Kalaiselvam et al. S Kalaiselvam, A Ameelia Roseline, R Dinesh, S Imran Hussain Journal of Thermal Analysis and Calorimetry 147 (24), 14057-14069 , 2022 2022 Citations: 7
Improved breast cancer classification approach using hybrid deep learning strategies for tumor segmentation V Anitha, M Subramaniam, AA Roseline Sensing and Imaging 25 (1), 31 , 2024 2024 Citations: 6
Adaptive Transformer-Based Multi-Modal Image Fusion for Real-Time Medical Diagnosis and Object Detection R Dineshkumar, AA Roseline, T V, R Kanth, J Nirmaladevi, G Ravi IJCESEN, International Journal of Computational and Experimental Science and … , 2024 2024 Citations: 5
Smart intelligent computing and communication technology VD Ambeth Kumar, S Malathi, VE Balas, M Favorskaya, T Perumal SAGE Publications , 2021 2021 Citations: 5
Dual‐band patch antenna using spiral‐shaped electromagnetic bandgap structures for cellular applications AA Roseline, K Malathi, AK Shrivastav Microwave and Optical Technology Letters 54 (2), 477-482 , 2012 2012 Citations: 5
Quantitative resilient investigation using RIPSHA approach and ANOVA validation for the ammonia storage unit P Rathinam, S Subburaj, A Roseline A, S Kalaiselvam Process Safety Progress 41 (4), 708-720 , 2022 2022 Citations: 4
Intelligent systems and computer technology DJ Hemanth, S Malathi SAGE Publications Limited , 2020 2020 Citations: 3
