R. Suganya, L.M.I. Leo Joseph, Sreedhar Kollem, "Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review," Results in Engineering, vol. 24, p. 103047, Dec. 2024. (Elsevier, Impact factor: 6)

Jayakumar, Dontabhaktuni, Modugu Krishnaiah, Sreedhar Kollem, Samineni Peddakrishna, Nadikatla Chandrasekhar, and Maturi Thirupathi. "Emergency Vehicle Classification Using Combined Temporal and Spectral Audio Features with Machine Learning Algorithms." Electronics 13, no. 19 (2024): 3873. (MDPI, Impact factor: 2.6)

S. Kollem, C. Sirigiri, and S. Peddakrishna, “A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination,” Biomedical Signal Processing and Control, vol. 95, p. 106406, Sep. 2024, doi: 10.1016/j.bspc.2024.106406. (Elsevier, Impact factor: 5.1)

M. Naresh, V. S. Nagaraju, S. Kollem, J. Kumar, and S. Peddakrishna, “Non-invasive Glucose Prediction and Classification Using NIR Technology with Machine Learning,” Heliyon, vol. 10, no. 7, p. e28720, Apr. 2024, doi: 10.1016/j.heliyon. 2024.e28720. (Elsevier, Impact factor: 4.0)

S. Kollem, “A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising,” Soft Computing, Feb. 2024, doi: 10.1007/s00500-024-09628-9. (Springer, Impact factor: 4.1)

S. Kollem, “An efficient method for MRI brain tumor tissue segmentation and classification using an optimized support vector machine,” Multimedia Tools and Applications, Jan. 2024, doi: 10.1007/s11042-024-18233-9. (Springer, Impact factor: 3.6)

S. Sreejith, L. M. I. L. Joseph, S. Kollem, V. T. Vijumon, and J. Ajayan, “Biodegradable sensors: A comprehensive review,” Measurement, vol. 219, p. 113261, Sep. 2023, doi: 10.1016/j.measurement.2023.113261. (Elsevier, Impact factor: 5.6)

S. Kollem, Ch. R. Prasad, J. Ajayan, S. Sreejith, L. L. Joseph, and P. M. Krishna, “Segmentation of brain MRI images using multi-Kernel FCM EHO method,” Current Medical Imaging Reviews, vol. 20, Aug. 2023, doi: 10.2174/1573405620666230822114029. (Bentham Science, Impact factor: 1.5)

Suganya, R., Joseph, L., & Kollem, S. (2024, June). Optimizing Energy Storage Systems: Interplay of Current, Voltage, and Temperature Parameters in Batteries. In 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) (pp. 18-21). IEEE.

Samala, S., Prasad, C. R., Kollem, S., Yalabaka, S., & Rao, P. R. (2024, June). A study on energy efficiency of a wireless communication system. In AIP Conference Proceedings (Vol. 2971, No. 1). AIP Publishing.

Srikanth, Y., Prasad, C. R., Srinvas, S., Kollem, S., & Thota, R. (2024, June). Night vision security patrolling robot. In AIP Conference Proceedings (Vol. 2971, No. 1). AIP Publishing.

Prasad, C. R., Yalabaka, S., Kollem, S., Samala, S., & Rao, P. R. (2024, June). Farmer friendly robotic vehicle. In AIP Conference Proceedings (Vol. 2971, No. 1). AIP Publishing.

Samala, S., Sreeram, A., Sarva, L. S. V., Kollem, S., Vanamala, K. R., & Valishetti, C. (2024, January). Performance Evaluation of Support Vector Machines and AdaBoost-SVM for Lung Nodule Identification in Chest Radiographs. In 2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 805-810). IEEE.

Kollem, S., Poojitha, K., Chary, N. B., Saicharan, P., Anvesh, K., Peddakrishna, S., & Prasad, C. R. (2024, January). Advancing Agriculture: Plant Disease Classification Through Cutting-Edge Deep Learning Techniques. In 2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 914-919). IEEE.

Kollem, S., Harika, P., Vignesh, J., Sairam, P., Ramakanth, A., Peddakrishna, S., ... & Prasad, C. R. (2024, February). A Novel DL Structure for Brain Tumor Identification Using MRI Images. In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT) (Vol. 5, pp. 1475-1481). IEEE.

Prasad, C. R., Srividya, K., Jahnavi, K., Srivarsha, T., Kollem, S., & Yelabaka, S. (2024, February). Comprehensive CNN Model for Brain Tumour Identification and Classification using MRI Images. In 2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE) (pp. 524-528). IEEE.

Prasad, C. R., Bilveni, G., Priyanka, B., Susmitha, C., Abhinay, D., & Kollem, S. (2024, February). Skin Cancer Prediction using Modified EfficientNet-B3 with Deep Transfer Learning. In 2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE) (pp. 519-523). IEEE.

Samala, S., Sahithi, U., Kumar, A. B., Kumar, O. S., Sri, V. R., Prasad, C. R., & Kollem, S. (2024, February). Optimizing Crop Management: Customized CNN for Autonomous Weed Identification in Farming. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-5). IEEE.

Ch. R. Prasad, P. Shivapriya, N. Bhargavi, N. Ravula, S. L. D. Sripathi, and S. Kollem, “Smart health prediction using machine learning,” AIP Conference Proceedings, Jan. 2024, doi: 10.1063/5.0198888.

Kollem, S. (2023, September). An Optimized CNN Method for Multi-Class MRI Brain Tumor Classification. In 2023 4th International Conference on Smart Electronics and Communication (ICOSEC) (pp. 1150-1155). IEEE.

Rajendra Prasad, Ch, Polaiah Bojja, Sreedhar Kollem, and P. Ramchandar Rao. "Implementation of Experiential and Project-Based Learning in Mechatronics Course." In Microelectronics, Communication Systems, Machine Learning and Internet of Things: Select Proceedings of MCMI 2020, pp. 607-619. Singapore: Springer Nature Singapore, 2022.

Prasad, Ch Rajendra, Sreedhar Kollem, Srinivas Samala, P. Ramchandar Rao, Srikanth Yalabaka, and A. Chakradhar. "Devanagari Script Digit Classification using modified AlexNet with Transfer Learning." In 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), pp. 1-4. IEEE, 2022.

Samala, Srinivas, Ch Rajendra Prasad, Sreedhar Kollem, P. Ramchandar Rao, Srikanth Yalabaka, and Ramu Moola. "Handwritten Telugu Vowel Character Classification Using Modified 25-Layer AlexNET With Transfer Learning." In 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), pp. 1-4. IEEE, 2022.

Sreedhar Kollem, Katta Ramalinga Reddy, S. Sreejith, Ch Rajendra Prasad, Srinivas Samala, and Thottempudi Pardhu. "A General Regression Neural Network based Blurred Image Restoration." In 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 1-7. IEEE, 2022.

Kumar, Erukulla Vinay, and Sreedhar Kollem. "Brain Tumor Detection using Convolution Neural Network with Data Augmentation." In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), pp. 1129-1134. IEEE, 2022.

Sreedhar Kollem, Mirza Rahman Baig, Donthireddy Lasya, Eligeti Ashwad Kalyan, and Karre Nithin Varma. "ECG Noise Removal Using FCN DAE Method." In 2022 2nd International Conference on Intelligent Technologies (CONIT), pp. 1-8. IEEE, 2022.

Sreedhar Kollem, LMI Leo Joseph, Usha Desai, Subham Tayal, J. Ajayan, Sandip Bhattacharya, and P. M. Rajasree. "INCNet: Brain Tumor Detection using Inception and Optimization Techniques." In 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), pp. 71-75. IEEE, 2022.

Suresh, Gade, Ch Rajendra Prasad, and Sreedhar Kollem. "Telugu Optical Character Recognition Using Deep Learning." In 2022 3rd International Conference for Emerging Technology (INCET), pp. 1-6. IEEE, 2022.

Prasad, Ch Rajendra, Banothu Arun, Soma Amulya, Preethi Abboju, Sreedhar Kollem, and Srikanth Yalabaka. "Breast Cancer Classification using CNN with Transfer Learning Models." In 2023 International Conference for Advancement in Technology (ICONAT), pp. 1-5. IEEE, 2023.

Sri, Akula Shravya, Bobbili Varshith Reddy, Kanuri Balakrishna, Vollala Akshitha, Sreedhar Kollem, and Ch Rajendra Prasad. "Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App." In 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), pp. 1-7. IEEE, 2023.

Singamshetty, Ramyateja, Sangani Sruthi, Kodati Chandhana, Sreedhar Kollem, and Ch Rajendra Prasad. "Brain Tumor Detection Using the Inception Deep Learning Technique." In 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), pp. 1-7. IEEE, 2023.

Rajkumar, K., Abbady Saivardhan Reddy, Paladugula Sahith, P. Shiva Krishna Kumar, and Sreedhar Kollem. "An efficient image-denoising method using a deep learning technique." In 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), pp. 1-6. IEEE, 2023.

Sreedhar Kollem, K. Rama Linga Reddy, and D. Sreenivasa Rao. "Image denoising by using modified SGHP algorithm." International Journal of Electrical and Computer Engineering 8, no. 2 (2018): 971.

Sreedhar Kollem, Katta Rama Linga Reddy, and Duggirala Srinivasa Rao. "A review of image denoising and segmentation methods based on medical images." International Journal of Machine Learning and Computing 9, no. 3 (2019): 288-295.

Sreedhar Kollem "Segmentation of Brain MRI Images Using Multi-Kernel FCM EHO Method." Current Medical Imaging (2023) (accepted). ( Bentham, Impact factor: 1.4)

Janapati, Ravichander, Vishwas Dalal, Rakesh Sengupta, Usha Desai, P. V. Raja Shekar, and Sreedhar Kollem. "Towards a more theory-driven BCI using source reconstructed dynamics of EEG time-series." Nano Life 12, no. 02 (2022): 2250005. (World Scientific, Impact factor: 1.2)

Ajayan, J., P. Mohankumar, D. Nirmal, LMI Leo Joseph, Sandip Bhattacharya, S. Sreejith, Sreedhar Kollem, Shashank Rebelli, Shubham Tayal, and B. Mounika. "Ferroelectric Field Effect Transistors (FeFETs): Advancements, Challenges and Exciting Prospects for Next Generation Non-Volatile Memory (NVM) Applications." Materials Today Communications (2023): 105591. (Elsevier, Impact factor: 3.662)

Sreedhar Kollem, Katta Rama Linga Reddy, and Duggirala Srinivasa Rao. "Denoising and segmentation of MR images using fourth order non?linear adaptive PDE and new convergent clustering." International Journal of Imaging Systems and Technology 29, no. 3 (2019): 195-209. (Wiley, Impact factor: 2.2)

Sreedhar Kollem, Katta Rama Linga Reddy, and Duggirala Srinivasa Rao. "Modified transform based gamma correction for MRI tumor image denoising and segmentation by optimized histon?based elephant herding algorithm." International Journal of Imaging Systems and Technology 30, no. 4 (2020): 1271-1293. (Wiley, Impact factor: 2.2)

Muchahary, Deboraj, Kodam Priyanka, Lakum Sai Ram, Aarthi Prahitha, and Sreedhar Kollem. "Performance enhancement through optimization of metal oxide electron transport layer in hybrid solar cell." Optik 248 (2021): 168102. (Elsevier, Impact factor: 2.84)

Sreedhar Kollem, Katta Ramalinga Reddy, and Duggirala Srinivasa Rao. "An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation." Multimedia Tools and Applications 80, no. 1 (2021): 409-437. (Springer, Impact factor: 2.557)

Sreedhar Kollem, Katta Ramalinga Reddy, and Duggirala Srinivasa Rao. "Improved partial differential equation-based total variation approach to non-subsampled contourlet transform for medical image denoising." Multimedia Tools and Applications 80, no. 2 (2021): 2663-2689. (Springer, Impact factor: 2.557)

Bhattacharya, Sandip, J. Ajayan, D. Nirmal, Shubham Tayal, Sreedhar Kollem, and LMI Leo Joseph. "Investigation on DC/RF performance of LG= 19 nm heterogeneous integrated Ga0. 15In0. 85As/InAs/Ga0. 15In0. 85As composite channel InP HEMT on silicon substrate for future beyond 5G and quantum computing applications." Silicon 14, no. 15 (2022): 9581-9588. (Springer, Impact factor: 2.941)

Sreejith, S., J. Ajayan, Sreedhar Kollem, and B. Sivasankari. "A comprehensive review on thin film amorphous silicon solar cells." Silicon (2022): 1-17. (Springer, Impact factor: 2.941)

Bhattacharya, Sandip, Mohammed Imran Hussain, John Ajayan, Shubham Tayal, Louis Maria Irudaya Leo Joseph, Sreedhar Kollem, Usha Desai, Syed Musthak Ahmed, and Ravichander Janapati. "Analysis of read speed latency in 6TSRAM cell using multilayered graphene nanoribbon and cu based nano?interconnects for high performance memory circuit design." ETRI Journal (2022). (Wiley, Impact factor: 1.4)

Sreedhar Kollem, Katta Ramalinga Reddy, Duggirala Srinivasa Rao, Chintha Rajendra Prasad, V. Malathy, J. Ajayan, and Deboraj Muchahary. "Image denoising for magnetic resonance imaging medical images using improved generalized cross?validation based on the diffusivity function." International Journal of Imaging Systems and Technology 32, no. 4 (2022): 1263-1285. (Wiley, Impact factor: 3.3)

Sreedhar Kollem, Ch Rajendra Prasad, J. Ajayan, V. Malathy, and Akkala Subbarao. "Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage." Multimedia Tools and Applications 82, no. 14 (2023): 20741-20770. (Springer, Impact factor: 3.6)

Sreejith, S., LMI Leo Joseph, Sreedhar Kollem, V. T. Vijumon, and J. Ajayan. "Biodegradable Sensors: A Comprehensive Review." Measurement (2023): 113261. (Elsevier, Impact factor: 5.6)

Sreedhar Kollem, Katta Ramalinga Reddy, and Duggirala Srinivasa Rao. "A novel diffusivity function-based image denoising for MRI medical images." Multimedia Tools and Applications (2023): 1-33. (Springer, Impact factor: 3.6)

Sreedhar Kollem, Katta Ramalinga Reddy, Ch Rajendra Prasad, Avishek Chakraborty, J. Ajayan, S. Sreejith, Sandip Bhattacharya, LMI Leo Joseph, and Ravichander Janapati. "AlexNetNDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz based data augmentation." International Journal of Imaging Systems and Technology (2023) (Wiley, Impact factor: 3.3)