Intelligent security algorithm for UNICODE data privacy and security in IOT. - Balajee Maram; J. M. Gnanasekar; Gunasekaran Manogaran; Muthu BalaAnand (Serv. Oriented Comput. Appl., 2019)

Innovative and efficient method of robotics for helping the Parkinson's disease patient using IoT in big data analytics. - C. B. Sivaparthipan 001; Bala Anand Muthu; Gunasekaran Manogaran; Balajee Maram; Revathi Sundarasekar; Sujatha Krishnamoorthy; Ching-Hsien Hsu; Karthik Chandran (Trans. Emerg. Telecommun. Technol., 2020)

Optimized deep stacked autoencoder for ransomware detection using blockchain network. - Ganapathi Nalinipriya; Balajee Maram; Ch. Vidyadhari; Cristin Rajan (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Harmony search Hawks optimization-based Deep reinforcement learning for intrusion detection in IoT using nonnegative matrix factorization. - P. G. Om Prakash; Balajee Maram; Ganapathi Nalinipriya; Cristin Rajan (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Ar-HGSO: Autoregressive-Henry Gas Sailfish Optimization enabled deep learning model for diabetic retinopathy detection and severity level classification. - J. Granty Regina Elwin; Jyothi Mandala; Balajee Maram; R. Ramesh Kumar (Biomed. Signal Process. Control., 2022)

Optimal DeepMRSeg based tumor segmentation with GAN for brain tumor classification. - G. Neelima; Dhanunjaya Rao Chigurukota; Balajee Maram; B. Girirajan (Biomed. Signal Process. Control., 2022)

Adaptive partitioning-based copy-move image forgery detection using optimal enabled deep neuro-fuzzy network. - Geetha Mariappan; Aravapalli Rama Satish; P. V. Bhaskar Reddy 001; Balajee Maram (Comput. Intell., 2022)

Ransomware recognition in blockchain network using water moth flame optimization-aware DRNN. - Ganapathi Nalinipriya; Balajee Maram; Chittibabu Priya; Cristin Rajan (Concurr. Comput. Pract. Exp., 2022)

Gray wolf-student psychology optimization-based deep long short term memory for survival prediction using cancer gene-expression data. - Telagarapu Prabhakar; Subbiah Vairamuthu; Balasubramaniam Selva Rani; Balajee Maram (Concurr. Comput. Pract. Exp., 2022)

Deep maxout network for lung cancer detection using optimization algorithm in smart Internet of Things. - Muthuperumal Periyaperumal Ramkumar; Pauliah David Mano Paul; Balajee Maram; John Patrick Ananth (Concurr. Comput. Pract. Exp., 2022)

Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network. - Veerraju Gampala; Balajee Maram; S. Vigneshwari; Cristin Rajan (Int. J. Intell. Syst., 2022)

Deep computation model to the estimation of sulphur dioxide for plant health monitoring in IoT. - Ramesh Karnati; Hanumantu Joga Rao; Om Prakash P. G; Balajee Maram (Int. J. Intell. Syst., 2022)

CPRO: Competitive Poor and Rich Optimizer-Enabled Deep Learning Model and Holoentropy Weighted-Power K-Means Clustering for Brain Tumor Classification Using MRI. - V. Agalya; Manivel Kandasamy; Ellappan Venugopal; Balajee Maram (Int. J. Pattern Recognit. Artif. Intell., 2022)

DeepJoint Segmentation-based Lung Segmentation and Hybrid Optimization-Enabled Deep Learning for Lung Nodule Classification. - P. Chinniah; Balajee Maram; P. Velrajkumar; Ch. Vidyadhari (Int. J. Pattern Recognit. Artif. Intell., 2022)

MVPO Predictor: Deep Learning-Based Tumor Classification and Survival Prediction of Brain Tumor Patients with MRI Using Multi-Verse Political Optimizer. - R. Rajeswari; G. Neelima; Balajee Maram; Anupama Angadi (Int. J. Pattern Recognit. Artif. Intell., 2022)

FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection. - R. Rajeswari; Veerraju Gampala; Balajee Maram; Cristin Rajan (J. Digit. Imaging, 2022)

Internet of things based smart application for rice leaf disease classification using optimization integrated deep maxout network. - Vimala Shanmugam; Telu Venkata Madhusudhana Rao; Hanumantu Joga Rao; Balajee Maram (Concurr. Comput. Pract. Exp., 2023)

Taylor-student psychology based optimization integrated deep learning in IoT application for plant disease classification. - S. Vimala; Madhusudhana Rao T. V.; A. Balaji; Balajee Maram (Wirel. Networks, 2023)

AACO: Aquila Anti-Coronavirus Optimization-Based Deep LSTM Network for Road Accident and Severity Detection. - Pendela Kanchanamala; Ramanathan Lakshmanan; B. Muthu Kumar; Balajee Maram (Int. J. Pattern Recognit. Artif. Intell., 2023)

ASCA-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detection. - G. Nirmalapriya; Balajee Maram; Ramanathan Lakshmanan; M. Navaneethakrishnan (Comput. Secur., 2023)

Deep Fuzzy Clustering and Deep Residual Network for Prediction of Web Pages from Weblog Data with Fractional Order Based Ranking. - K. Suresh Kumar; Balajee Maram; Chittibabu Priya (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2023)

Chronological horse herd optimization-based gene selection with deep learning towards survival prediction using PAN-Cancer gene-expression data. - Ramachandro Majji; Balajee Maram; R. Rajeswari (Biomed. Signal Process. Control., 2023)

Autism spectrum disorder classification using Adam war strategy optimization enabled deep belief network. - Venkatesh A. Bhandage; Mallikharjuna Rao K; Satish Muppidi; Balajee Maram (Biomed. Signal Process. Control., 2023)

M-Net based stacked autoencoder for ransomware detection using blockchain data. - Uma Devi Gurumuni Nathan; P. Balashanmuga Vadivu; Balajee Maram; Guru Kesava Dasu Gopisetty; Smritilekha Das; Daniya T (Appl. Soft Comput., 2024)

Multispectral and hyperspectral image fusion: a systematic analysis and review with the state of art techniques. - Balajee Maram; K. Suresh Kumar; Veerraju Gampala (Int. J. Bio Inspired Comput., 2024)

Exponential gannet firefly optimization algorithm enabled deep learning for diabetic retinopathy detection. - Telagarapu Prabhakar; Madhusudhana Rao T. V.; Balajee Maram; Dhanunjaya Rao Chigurukota (Biomed. Signal Process. Control., 2024)

Fractional WSD: Fractional war strategy dingo optimization with unified segmentation for detection of skin cancer. - N. Suganthi; K. Suresh Kumar; Balajee Maram; Vimala Shanmugam (Biomed. Signal Process. Control., 2024)

Chronological pelican remora optimization-enabled deep learning for detection of autism spectrum disorder. - Gopalsamy Venkadakrishnan Sriramakrishnan; Vaddadi Vasudha Rani; Satish Thatavarti; Balajee Maram (Signal Image Video Process., 2024)

Identification of lung cancer using archimedes flow regime optimization enabled deep belief network. - Veerraju Gampala; Vaggi Ramya; Balajee Maram; Sasibhushana Rao Pappu (Multim. Tools Appl., 2024)

Diabetic retinopathy detection with fundus images based on deep model enabled chronological rat swarm optimization. - Neelima Gullipalli; Viswanadham Baby Koti Lakshmi Aruna; Veerraju Gampala; Balajee Maram (Multim. Tools Appl., 2024)

Discrete neighborhood difference pattern-based feature extraction and hybrid deep learning model for melanoma skin cancer detection. - Ilavarasan Sargunan; Balajee Maram; Creesy Rajan; Vadamodula Prasad; Balasubramaniam Selva Rani; Deena Gnanasekaran (Biomed. Signal Process. Control., 2025)

Skin cancer detection using harmonic brown bear optimization enabled transfer learning. - Malathy Manickavasagam; Vaddadi Vasudha Rani; Uttam Kumar Giri; Balajee Maram (Comput. Biol. Chem., 2025)

Hybrid EfficientNet feed forward neural network for ransomware detection in blockchain. - Balajee Maram; Neelima Gullipalli; Rudra Kalyan Nayak; Ramamani Tripathy; Satish Muppidi; Madan Lal Saini (Eng. Appl. Artif. Intell., 2025)

Blockchain data with Ransomware detection based on deep feed forward Maxout network. - Vemireddi Srinadh; Buddi Padmaja; Dhanunjaya Rao Chigurukota; Mallikharjuna Rao Karreddula; Balajee Maram; Smritilekha Das (Eng. Appl. Artif. Intell., 2025)

Fractional gannet humming optimization enabled deep convolutional neural network for detection and segmentation of skin cancer. - Aravapalli Rama Satish; Balajee Maram; Varaprasada Rao Perumalla; Mallikharjuna Rao K (Neurocomputing, 2025)

Pyramid-KNet: Pyramid Kroneckernet-based lung cancer detection using computed tomography images. - Praveen Kantha; J. Anitha 006; Katakam Venkateswara Rao; Balajee Maram; Satish Muppidi; Parul Datta (Int. J. Mach. Learn. Cybern., 2025)

PCAFGNet: Principal component analysis network GoogleNet for spinal cord injury classification. - Alok Misra; Telagarapu Prabhakar; Balajee Maram; G. Venkatakotireddy; Ganji Ramanjaiah; Aleem Ali (Biomed. Signal Process. Control., 2026)