Forecasting of Photovoltaic Power with ARO based AI approach Mounika Nallur, B M Nalini, Zabiha Khan, S Nayana, Prasad N Achyutha, et al. International Conference on Distributed Computing and Optimization Techniques Icdcot 2024, 2024 Renewable power from sunlight can power the future smart grid with massive amounts of electricity. Systems struggle with solar energy's unpredictability and intermittent nature. Unpredictability of solar electricity hinders smart grid optimization and planning. Photovoltaic (PV) power generation must be accurately estimated to reduce power interruptions. PV power must be accurately predicted to avoid grid disturbances from PV facilities. Thus, we describe a transfer learning and AlexNet-based CNN architecture for short-term power forecasting. Past power, solar radiation, wind speed, and temperature readings determine the input. AlexNet's hyper-parameters are optimized using the artificial rabbit method. By adding selective opposition to ARO, local solution tracking efficiency is improved. CNN input features are created from all input parameters as 2D feature maps. After analyzing real PV data from Limberg, Belgium, the math shows that PV systems work.
Vortex Search Optimizer based Hybrid Watermarking Scheme for Securing the Medical Images G N Keshava Murthy, Nalini B M, Madhura G K, Nayana S 2023 IEEE 3rd Mysore Sub Section International Conference Mysurucon 2023, 2023 Preventing the duplication, modification, and claim of unauthorised ownership of digital content is one of the major issues caused by the growing use of computer capabilities. Watermarking is one way to put a visible or invisible watermark on a digital document in order to later show that the document is legitimate or belongs to its owner. concentrating on security issues in the storage and broadcast of images in the medical info scheme, as well as the special requirements for medical images for the protection of lesion regions. In this study, a hybrid watermarking strategy was presented utilising the Slantlet transform, randomised singular value decomposition, and optimisation methods (Vortex Search algorithm (VSA)) that are modelled after natural processes. The XOR encryption method is used to encrypt the watermark image. Extensive testing demonstrates that our novel approach works better than the current approaches based on the NC, SSIM, and PSNR. The PSNR of the suggested technique is between 58 and 59 dB, suggesting increased performance, and at a scale factor of 0.06, the SSIM and NC standards of the watermarked picture and the extracted watermark are nearly equal to. The recommended method outperforms past studies in the field in terms of usability, robustness, security, and invisibility, as well as its ability to repel local nonlinear geometric attacks.
U-Net based Segmentation and Transfer Learning Based-Classification for Diabetic-Retinopathy Diagnosis B.D. Parameshachari, B M Nalini, H M LeenaShruthi, Padmavathi Diggi 2023 IEEE International Conference on Integrated Circuits and Communication Systems Icicacs 2023, 2023 Diabetic retinopathy (DR) diagnostic automation using AI is becoming more common. Diseases affecting the blood vessels in the retina, such as those produced by diabetes, are a primary cause of sightlessness and visual impairment worldwide. As a result, early screening and treatment of DR would benefit substantially from automated DR detection systems, preventing visual loss caused by DR. Over the last several years, many methods for identifying anomalies in retinal pictures have been presented by researchers. Traditional automated approaches for detecting diabetic retinopathy relied on manually extracted features from retinal pictures and a classifier for final classification. Diabetic retinopathy may be detected and classified in fundus pictures with the help of a deep learning approach suggested in this study. In this method, the network makes a prediction depending on the quality of the dataset it was trained on. In the first stage, OD (eye) and BV (blood vessel) segmentation are performed using separate U-Net models. The second stage involves applying transfer learning to the deep learning models in order to fine-tune them for improved performance in both the training and validation phases. We use partial data augmentation methods to evenly expand our training dataset. Compared to the sum of the separate models, the suggested weighted classifier performs the best. Additionally, the model is evaluated using the open-access dataset, which consists of 3662 pictures. The APTOS 2019 dataset served as the basis for the five groups. The suggested technique significantly recovers the presentation of DR detection for fundus pictures as assessed by a number of different metrics and compared to current methods to DR identification.
Detection of Skin Cancer Using SFLA Based Apex Component Analysis Network G N Keshava Murthy, Piyush Kumar Pareek, Jagadeesh B N, Nalini B M, Keerthi Kumar M, et al. 2023 International Conference on Data Science and Network Security Icdsns 2023, 2023 Diagnosing skin lesions using medical image analysis is still difficult. There are many different types of skin cancer, but skin lesions are quite prevalent. the most cutting-edge tools for identifying skin cancer is dermoscopy. However, a high number of training samples is often required for Deep learning-based approaches. When there are few samples available, it is challenging for a deep learning model to produce a representative representation of features for detecting skin lesions. In this work, we present an optimised simple deep learning model (OSDL) that can improve accuracy even when there is a scarcity of training data. In OSDL, the network is built using samples of skin cancer images and their innate features. The resultant model would then be able to create more robust feature expression with fewer data points. The suggested model, dubbed SFLA-OSDL, employs the Shuffled Frog Leaping Algorithm (SFLA) to fine-tune OSDL's hyper-parameters. For the purpose of deep feature extraction from skin cancer pictures, we have developed a novel network we call the Apex Component Analysis Network (ACAN). On the benchmark dataset ISBI-2016, the provided technique is exposed to outperform the high-tech tactics in relationships of accuracy and speed.
Trinetra- A Vision Therapy Application to Aid People with Low Vision ARP Pushpa G,Manjunath G S, Dr. Kavitha C, Nalini B M, Sumukh M K International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING … , 2025 2025.0
Forecasting of Photovoltaic Power with ARO based AI approach M Nallur, BM Nalini, Z Khan, S Nayana, PN Achyutha, G Manjula 2024 International Conference on Distributed Computing and Optimization … , 2024 2024.0 Citations: 10
Vortex Search Optimizer based Hybrid Watermarking Scheme for Securing the Medical Images NS G N Keshava Murthy, Nalini B M, Madhura G K 2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon) , 2024 2024.0
A SURVEY ON VOICE DIRECTED WHEELCHAIR FOR DIFFERENTLY ABLED PEOPLE SHK Nalini B M, Arbeena A, Brinda K, Devika M International Journal For Technological Research In Engineering 11 (Issue 4) , 2024 2024.0
A SURVEY ON INTELLIGENT AIDING SYSTEM FOR VISUALLY CHALLENGED PEOPLE: A MULTI-SENSOR APPROACH YK Nalini B.M, Usha Bai N, Yashodha P, Usha Rani P S International Journal For Technological Research In Engineering 11 (Issue 5) , 2024 2024.0
Detection of Skin Cancer Using SFLA Based Apex Component Analysis Network GNK Murthy, PK Pareek 2023 International Conference on Data Science and Network Security (ICDSNS … , 2023 2023.0 Citations: 2
U-Net based Segmentation and Transfer Learning Based-Classification for Diabetic-Retinopathy Diagnosis BD Parameshachari, BM Nalini, HM LeenaShruthi, P Diggi 2023 IEEE International Conference on Integrated Circuits and Communication … , 2023 2023.0 Citations: 5
DETECTION OF FOREST FIRE AND FIREHAWKS USING DEEP LEARNING PLATFORM AND IOT MBS Nalini B M, Priyanka M, Priya Kumari A, Pooja G S International Journal of Advanced Research in Computer and Communication … , 2023 2023.0
RECOMMENDATION FOR AGRICULTURAL CROP BASED ON SOIL USING IOT AND ML RMA Nalini B M, Pavankumar B K, Prajwal R, Pavan G N International Journal of Advanced Research in Computer and Communication … , 2023 2023.0
A survey on blockchain security for cloud and IoT environment S Ramkrishna, C Srinivas, AP Narasimhaiah, U Muniraju, ... International journal of health sciences 6 (7), 28-43 , 2022 2022.0 Citations: 9
Implementation of NLP based automatic text summarization using spacy NCP Prakash, AP Narasimhaiah, JB Nagaraj, PK Pareek, ... International Journal of Health Sciences 6 (S5), 7508-7521 , 2022 2022.0 Citations: 16
Analysis and detection of diabetes using data mining techniques—a big data application in health care BG Mamatha Bai, BM Nalini, J Majumdar Emerging Research in Computing, Information, Communication and Applications … , 2019 2019.0 Citations: 52
Nalini, and Jharna Majumdar." Analysis and Detection of Diabetes Using Data Mining Techniques—A Big Data Application in Health Care." Emerging Research in Computing … BG Bai, BM Mamatha Emerging Research in Computing, Information, Communication and Applications … , 2019 2019.0 Citations: 5
Traffic Congestion Control Mechanisms Using Apriori Algorithm U Muniraju, BM Nalini, K Guruprasad, M Kumar, PA Patil, S Niriksha The Journal of Computational Science and Engineering. ISSN, 2583-9055 , 0
Jharna Majumdar,“Analysis and Detection of Diabetes Using Data Mining Techniques–A Big Data Application in Healthcare” BG Mamatha Bai, BM Nalini Proceedings of Fifth International Conference on ‘Emerging Research in … , 0 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Analysis and detection of diabetes using data mining techniques—a big data application in health care BG Mamatha Bai, BM Nalini, J Majumdar Emerging Research in Computing, Information, Communication and Applications … , 2019 2019.0 Citations: 52
Implementation of NLP based automatic text summarization using spacy NCP Prakash, AP Narasimhaiah, JB Nagaraj, PK Pareek, ... International Journal of Health Sciences 6 (S5), 7508-7521 , 2022 2022.0 Citations: 16
Forecasting of Photovoltaic Power with ARO based AI approach M Nallur, BM Nalini, Z Khan, S Nayana, PN Achyutha, G Manjula 2024 International Conference on Distributed Computing and Optimization … , 2024 2024.0 Citations: 10
A survey on blockchain security for cloud and IoT environment S Ramkrishna, C Srinivas, AP Narasimhaiah, U Muniraju, ... International journal of health sciences 6 (7), 28-43 , 2022 2022.0 Citations: 9
U-Net based Segmentation and Transfer Learning Based-Classification for Diabetic-Retinopathy Diagnosis BD Parameshachari, BM Nalini, HM LeenaShruthi, P Diggi 2023 IEEE International Conference on Integrated Circuits and Communication … , 2023 2023.0 Citations: 5
Nalini, and Jharna Majumdar." Analysis and Detection of Diabetes Using Data Mining Techniques—A Big Data Application in Health Care." Emerging Research in Computing … BG Bai, BM Mamatha Emerging Research in Computing, Information, Communication and Applications … , 2019 2019.0 Citations: 5
Detection of Skin Cancer Using SFLA Based Apex Component Analysis Network GNK Murthy, PK Pareek 2023 International Conference on Data Science and Network Security (ICDSNS … , 2023 2023.0 Citations: 2
Jharna Majumdar,“Analysis and Detection of Diabetes Using Data Mining Techniques–A Big Data Application in Healthcare” BG Mamatha Bai, BM Nalini Proceedings of Fifth International Conference on ‘Emerging Research in … , 0 Citations: 2
Trinetra- A Vision Therapy Application to Aid People with Low Vision ARP Pushpa G,Manjunath G S, Dr. Kavitha C, Nalini B M, Sumukh M K International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING … , 2025 2025.0
Vortex Search Optimizer based Hybrid Watermarking Scheme for Securing the Medical Images NS G N Keshava Murthy, Nalini B M, Madhura G K 2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon) , 2024 2024.0
A SURVEY ON VOICE DIRECTED WHEELCHAIR FOR DIFFERENTLY ABLED PEOPLE SHK Nalini B M, Arbeena A, Brinda K, Devika M International Journal For Technological Research In Engineering 11 (Issue 4) , 2024 2024.0
A SURVEY ON INTELLIGENT AIDING SYSTEM FOR VISUALLY CHALLENGED PEOPLE: A MULTI-SENSOR APPROACH YK Nalini B.M, Usha Bai N, Yashodha P, Usha Rani P S International Journal For Technological Research In Engineering 11 (Issue 5) , 2024 2024.0
DETECTION OF FOREST FIRE AND FIREHAWKS USING DEEP LEARNING PLATFORM AND IOT MBS Nalini B M, Priyanka M, Priya Kumari A, Pooja G S International Journal of Advanced Research in Computer and Communication … , 2023 2023.0
RECOMMENDATION FOR AGRICULTURAL CROP BASED ON SOIL USING IOT AND ML RMA Nalini B M, Pavankumar B K, Prajwal R, Pavan G N International Journal of Advanced Research in Computer and Communication … , 2023 2023.0
Traffic Congestion Control Mechanisms Using Apriori Algorithm U Muniraju, BM Nalini, K Guruprasad, M Kumar, PA Patil, S Niriksha The Journal of Computational Science and Engineering. ISSN, 2583-9055 , 0
