Optimized Transfer Learning and Machine Learning Hybrid Approach for Early Lung Cancer Diagnosis Ramesh Alladi, P Sumithabhashini, Bhargavi Mopuru, Vunnava Dinesh Babu, Kondamudi Naga Neeraja, A. Lakshmanarao Proceedings of 3rd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2025, 2025 Lung cancer remains one of the most prevalent and life-threatening diseases globally, emphasizing the need for early and precise detection to improve patient outcomes. Traditional deep learning models, despite their success in medical image analysis, often encounter overfitting, high computational demands, and limited interpretability, while classical ML models struggle to automatically extract high-level spatial features from medical images. To bridge this gap, this study presents a hybrid Deep DL+ML framework for lung cancer detection using computed tomography (CT) scan images. The proposed methodology integrates three well-established transfer learning models VGG16, InceptionV3, and ResNet50— to extract rich deep feature representations, which are subsequently classified using six machine learning classifiers: SVM, Random Forest, Gradient Boosting, XGBoost, LightGBM, and k-NN. The extracted feature embeddings undergo optimization and fine-tuning to enhance classification accuracy while addressing challenges such as data imbalance and computational inefficiencies. Experimental evaluations on the Kaggle lung cancer dataset demonstrate that the hybrid DL+ML approach significantly outperforms traditional standalone CNN classifiers. Among the evaluated models, ResNet50 + XGBoost achieved the highest accuracy of 96.8%, highlighting the effectiveness of combining deep feature extraction with advanced ML classification techniques. This study underscores the clinical potential of hybrid AI-driven lung cancer diagnosis, offering an interpretable, computationally efficient, and high-performance framework for early detection in medical imaging.
Deep Learning Approach for Early Detection and Diagnosis of Teenager Interstitial Lung Disease Ramesh Alladi, R. N. V. Jagan Mohan, K. V. Ramana Algorithms in Advanced Artificial Intelligence, 2024 This paper is discussing with a patient-centric, multidisciplinary approach for the early identification, guideline-based risk assessment, and subsequent diagnosis and patient engagement and education strategies for Childhood Interstitial Lung Disease (chILD). The main objective is outlining the presenting symptoms, risk factors, diagnostic testing methods, disease monitoring, progression and treatment of chILD disorders. Describe strategies to increase disease awareness and recognition among healthcare providers as well as implement a patient-centric, multidisciplinary approach for the early identification, diagnosis and care of infants and children with chILD based on clinical practice guidelines. Implement a proactive patient engagement and education strategy for the parents and/or caregivers of chILD patients to facilitate diagnosis, treatment and monitoring, while focusing on the unique needs of diverse individuals and those with healthcare disparities. The study explores various methods for analyzing lung cancer, including Fuzzy Chest X-Ray image segmentation, Knowledge distillation-based image; probe method-based feature selection, and VGG16 model-based image. Our trial’s use of deep learning to identify and diagnose lung illnesses in teenagers has been carried out accurately.
Identifying Tremor Disease in Neurological Disorders Using Finger Gesture Images P. Sumithabhashini, M. V. Vijaya Saradhi, Ramesh Alladi, Swajan Reddy Algorithms in Advanced Artificial Intelligence, 2024 Neurological problems, resulting from genetic disorders, congenital abnormalities, infections, lifestyle, environmental issues, malnutrition, and brain injury recognized neurological diseases. Gesture Recognition for Image Processing uses artificial intelligence (AI) and machine learning for classification, heat/motion detection, and movement analysis. It is based on advanced technologies and algorithms. The application of finger imaging tremor quantification to neurological disorder diagnosis is covered in the study. This research presents a hybrid strategy to quantify and objectively assess shake, specifically for cerebella diseases and finger shake, combining imaging technologies and machine learning approaches. The technique uses a Gesture Finger pictures Process of Tremor Disease Detection for AI along with image processing to differentiate between people who are healthy and those who have crucial shaking.
ATLAS AI - Offline Multi-Expert AI System with Edge Device Computation Ramesh Alladi, Tarun Vuppala, Madhav Madupu, Pramod Boddu The International Journal of Versatile Research and Analysis (IJVRA) 4 (4 … , 2026 2026
Detection and Risk Prediction of Brain Tumor using Model-Agnostic Explainable Artificial Intelligence R Alladi, RNVJ Mohan, KV Ramana, P Sumithabhashini International Conference on Computer Science and Communication Engineering … , 2025 2025
Programmable NLU Powered 3-in-1 Bot :Video, Voice, Text Ramesh Alladi, Nagaraju Boyapally, A Arun Kumar Reddy, Samudrala Narain ... INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 9 … , 2025 2025
Intelligent Classroom Monitoring System for Enhanced Learning Environments Using Deep Learning R Alladi INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 9 … , 2025 2025
Optimized Transfer Learning and Machine Learning Hybrid Approach for Early Lung Cancer Diagnosis R Alladi, P Sumithabhashini, B Mopuru, VD Babu, KN Neeraja, ... 2025 Third International Conference on Augmented Intelligence and … , 2025 2025
Development of Explainable AI(XAI) based model for prediction of heavy/high impact rain events Ramesh Alladi, Ch. Praneetha, D. Tanuj, Ch. Venu International Research Journal of Modernization in Engineering Technology … , 2025 2025
Deep Learning Approach for Early Detection and Diagnosis of Teenager Interstitial Lung Disease R Alladi, RNVJ Mohan, KV Ramana Algorithms in Advanced Artificial Intelligence, 88-93 , 2024 2024 Citations: 1
Identifying Tremor Disease in Neurological Disorders Using Finger Gesture Images P Sumithabhashini, MVV Saradhi, R Alladi, S Reddy Algorithms in Advanced Artificial Intelligence, 140-143 , 2024 2024
REFINING THE DETECTION OF MEDICINAL PLANTS USING MACHINE LEARNING AND IMAGE ANALYSIS TECHNIQUES MA Ramesh, KV Ganesh, S Naresh, P Ajay, D Paramesh INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2024 2024 Citations: 2
DETECTION OF FACE MORPHING USING DEEP LEARNING MA Ramesh, BS Lakshmi, D Narendar, MM Najeeb, V Sai INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2024 2024
CANCER PREDICTION AT EARLY-STAGES USING MACHINE LEARNING A Ramesh, B Dileep, A Naveen, Y Manoj, V Vijay INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2024 2024
BLOCKCHAIN-BASED TELEHEALTH LEVERAGING MACHINE LEARNING R Alladi, P Silvary, K Mykachevuka, RK Konne, SR Aenugu International Research Journal of Modernization in Engineering, Technology … , 2023 2023
Introduction And Fundamental Concepts Of Machine Learning P Sumithabhashini, K Madhavi, MR Alladi, MCV Kumar Academic Guru Publishing House , 2022 2022
Smart Bus Tracking Application using IOT Badghainya Anchal , Maripally Lokesh , Mohd Saleem , Umama Mahreen , Ramesh ... International Journal of Research Publication and Reviews 3 (6), 4020-4025 , 2022 2022
AUTOMATIC MULTI-DISEASES PREDICTION USING MACHINE LEARNING Ramesh Alladi, A. Akhila, K. Hemalatha, A. Navya, B. Tejaswi, K. Hemanth International Journal of Trendy Research in Engineering and Technology 6 (3), 4 , 2022 2022
Finger Print Based ATM AR K. Poojith , B. Divya, M. Nikhil , E. Shiva Kiran International Journal of Advanced Research in Science, Communication and … , 2022 2022
Emotion and gender classification using convolution neural networks C Pandi, K Adi Narayana Reddy, R Alladi, V Chandra Sekhar Reddy, ... ICT Systems and Sustainability: Proceedings of ICT4SD 2021, Volume 1, 563-573 , 2022 2022 Citations: 6
Classification of product review polarity using LSTM C Pandi, CV Kumar, KAN Reddy, R Alladi, P Sumithabhashini Recent Trends in Communication and Electronics, 145-150 , 2021 2021
Classification of Facial Expressions using Convolutional Neural Networks Alladi Ramesh, Dr. P. Sumithabhashini, Dr. ChiranjeeviPandi International Journal for Modern Trends in Science and Technology IJMTST 7 … , 2021 2021
Performance Comparison and Evaluation of Proactive , Reactive and Hybrid Routing Protocols in MANET DPSB A . Ramesh I nternational J ournal of A dvanced R esearch in E lectrical, E lectronics … , 2014 2014 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Emotion and gender classification using convolution neural networks C Pandi, K Adi Narayana Reddy, R Alladi, V Chandra Sekhar Reddy, ... ICT Systems and Sustainability: Proceedings of ICT4SD 2021, Volume 1, 563-573 , 2022 2022 Citations: 6
Performance Comparison and Evaluation of Proactive , Reactive and Hybrid Routing Protocols in MANET DPSB A . Ramesh I nternational J ournal of A dvanced R esearch in E lectrical, E lectronics … , 2014 2014 Citations: 3
REFINING THE DETECTION OF MEDICINAL PLANTS USING MACHINE LEARNING AND IMAGE ANALYSIS TECHNIQUES MA Ramesh, KV Ganesh, S Naresh, P Ajay, D Paramesh INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2024 2024 Citations: 2
Deep Learning Approach for Early Detection and Diagnosis of Teenager Interstitial Lung Disease R Alladi, RNVJ Mohan, KV Ramana Algorithms in Advanced Artificial Intelligence, 88-93 , 2024 2024 Citations: 1
Analyzing the Performance of GTS Allocation Using Markov Model in IEEE 802.15. 4 A Ramesh, P Sumithabhashini 2012 Citations: 1
ATLAS AI - Offline Multi-Expert AI System with Edge Device Computation Ramesh Alladi, Tarun Vuppala, Madhav Madupu, Pramod Boddu The International Journal of Versatile Research and Analysis (IJVRA) 4 (4 … , 2026 2026
Detection and Risk Prediction of Brain Tumor using Model-Agnostic Explainable Artificial Intelligence R Alladi, RNVJ Mohan, KV Ramana, P Sumithabhashini International Conference on Computer Science and Communication Engineering … , 2025 2025
Programmable NLU Powered 3-in-1 Bot :Video, Voice, Text Ramesh Alladi, Nagaraju Boyapally, A Arun Kumar Reddy, Samudrala Narain ... INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 9 … , 2025 2025
Intelligent Classroom Monitoring System for Enhanced Learning Environments Using Deep Learning R Alladi INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 9 … , 2025 2025
Optimized Transfer Learning and Machine Learning Hybrid Approach for Early Lung Cancer Diagnosis R Alladi, P Sumithabhashini, B Mopuru, VD Babu, KN Neeraja, ... 2025 Third International Conference on Augmented Intelligence and … , 2025 2025
Development of Explainable AI(XAI) based model for prediction of heavy/high impact rain events Ramesh Alladi, Ch. Praneetha, D. Tanuj, Ch. Venu International Research Journal of Modernization in Engineering Technology … , 2025 2025
Identifying Tremor Disease in Neurological Disorders Using Finger Gesture Images P Sumithabhashini, MVV Saradhi, R Alladi, S Reddy Algorithms in Advanced Artificial Intelligence, 140-143 , 2024 2024
DETECTION OF FACE MORPHING USING DEEP LEARNING MA Ramesh, BS Lakshmi, D Narendar, MM Najeeb, V Sai INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2024 2024
CANCER PREDICTION AT EARLY-STAGES USING MACHINE LEARNING A Ramesh, B Dileep, A Naveen, Y Manoj, V Vijay INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2024 2024
BLOCKCHAIN-BASED TELEHEALTH LEVERAGING MACHINE LEARNING R Alladi, P Silvary, K Mykachevuka, RK Konne, SR Aenugu International Research Journal of Modernization in Engineering, Technology … , 2023 2023
Introduction And Fundamental Concepts Of Machine Learning P Sumithabhashini, K Madhavi, MR Alladi, MCV Kumar Academic Guru Publishing House , 2022 2022
Smart Bus Tracking Application using IOT Badghainya Anchal , Maripally Lokesh , Mohd Saleem , Umama Mahreen , Ramesh ... International Journal of Research Publication and Reviews 3 (6), 4020-4025 , 2022 2022
AUTOMATIC MULTI-DISEASES PREDICTION USING MACHINE LEARNING Ramesh Alladi, A. Akhila, K. Hemalatha, A. Navya, B. Tejaswi, K. Hemanth International Journal of Trendy Research in Engineering and Technology 6 (3), 4 , 2022 2022
Finger Print Based ATM AR K. Poojith , B. Divya, M. Nikhil , E. Shiva Kiran International Journal of Advanced Research in Science, Communication and … , 2022 2022
Classification of product review polarity using LSTM C Pandi, CV Kumar, KAN Reddy, R Alladi, P Sumithabhashini Recent Trends in Communication and Electronics, 145-150 , 2021 2021
