Advancements in Automated Tumor Detection Screening: A Comprehensive Review and Comparative Analysis Palak Dalal, Gopi Krishna Guntamukkala, Alapati Vishnu Vardhan, Kancharla Ganesh Hanuma Vijay, Muhammed Naji N M, Senthil Kumar Janahan Proceedings of International Conference on Communication Computer Sciences and Engineering Ic3se 2024, 2024 This paper offers a thorough examination and comparative assessment of recent advancements in automated tumor detection methodologies. Covering a range of aspects related to tumor detection, such as image capture, preprocessing, feature extraction, classification methods, and performance assessment measures, the review delves into the application of multiple medical imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and histopathological photography. Additionally, it looks at how deep learning and machine learning algorithms— specifically, support vector machines (SVMs), convolutional neural networks (CNNs), and ensemble learning techniques—achieve accurate tumor categorization. Moreover, the paper addresses challenges and limitations inherent in automated tumor detection systems, including data imbalance, interpretability of machine learning models, and integration with clinical workflows. By conducting a comparative analysis of existing automated tumor detection approaches, this paper aims to provide researchers and clinicians with valuable insights into current state-of-the-art techniques, their strengths, and limitations. Furthermore, it identifies promising avenues for future research to advance the field of automated tumor detection screening and ultimately improve patient outcomes in oncology.
Improving Discoverability and Indexing of Interplanetary File system using Activitypub Ranjith Kumar Anandan, Santhosh Kumar P, Senthil Kumar Janahan, Karanvir Singh Proceedings IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2022, 2022 We inspected a problem where we noticed that we were storing invaluable human civilization and archaeological data on an array of regular web servers or we were dependent on companies providing web services for a limited time. This data is always subject to become unavailable after some amount of time due to reasons such as system failures, no backups, web companies that host web services going out of business, network faults, etc. These servers are not a permanent solution for digital preservation of any kind. Thus we proposed a solution based on the InterPlanetary FileSystem. This solution potentially allows the files to be preserved for an indefinite amount of time. However, like everything else this system has its own drawbacks as well. The content and objects were securely stored on the Interplanetary File System, however, they are not easily searchable on the clear web unless the person storing the content explicitly hyperlinks those objects on the web pages. Hence we are proposing a solution to broadcast the stored data at least once in real- time on the web so that interested entities such as archaeologists, researchers, students, and the general public can access and process them further for their consumption. We call this system the Inter Planetary Broadcaster.
A superlative groping on therapeutic properties of Premna latifolia extracts Journal of Critical Reviews, 2020 Therapeutic properties of Premna latifolia (P.Latifolia) leaf, stem, and whole plant extract was examined in this paper. Based on the active phytochemical constituents present in P.Latifolia leaf extracts, activities such as antibacterial, anti-inflammatory, antioxidant and wound healing activities are carried out and tested against several bacterias in former researches. The extract was prepared using solvents based on polarity ranges High, Medium and Low as such the petroleum ether and hexane from low polarity, the chloroform, ethyl acetate and acetone from mid polarity, and the methanol, aqueous and ethanol from high polarity was taken and are examined in those activities are investigated in this study.
A deep learning approach for predicting the active phytochemical constituent’s presence in premna latifolia leaf extracts data set International Journal of Advanced Science and Technology, 2019
Research on various tools in big data International Journal of Innovative Technology and Exploring Engineering, 2019 The field big data has wonderful changes in the last few years. Data are collected very massive amount and cheaply through network devices such as mobile, camera, microphone, software logs etc. Information is coming various sources and also the nature of the information is different. It is very difficult to perform with very huge data sets and different nature by using traditional data application software techniques. For many field we need to take out the valuable information from enormous and noisy data sets. In this paper we analyses the characteristics among four different tools and the comparison value is very useful to determine the efficient analytic tool. Based on the value which made user to select the best tool for to advance the performance of big data in a easiest way
Mining of high dimensional data using enhanced clustering approach International Journal of Engineering and Technology Uae, 2018
Digital marketing in hotel industry International Journal of Engineering and Technology Uae, 2018
IoT based smart traffic signal monitoring system using vehicles counts International Journal of Engineering and Technology Uae, 2018
Business intelligence and decision support using distinct mapreduce with access patterns (DMRAP) in big data analytics Journal of Advanced Research in Dynamical and Control Systems, 2017
A predictive analysis of signatures using soft computing techniques Journal of Advanced Research in Dynamical and Control Systems, 2017
RECENT SCHOLAR PUBLICATIONS
Advancements in Automated Tumor Detection Screening: A Comprehensive Review and Comparative Analysis P Dalal, GK Guntamukkala, AV Vardhan, KGH Vijay, MN NM, SK Janahan 2024 International Conference on Communication, Computer Sciences and … , 2024 2024.0
Efillout: An Android App Built on React Native for Efficient Charging Station Navigation A Rk, K Alam, SK Janahan Proceedings of the KILBY 100 7th International Conference on Computing Sciences , 2023 2023.0
Face Emotion Detection Using Convolutional Neural Network (CNN) and OpenCV U Pandey, SK Janahan, S Kumar, U Kumar, H Maurya, K Divyansh Proceedings of the KILBY 100 7th International Conference on Computing Sciences , 2023 2023.0 Citations: 1
Recognition of the Multioriented Text Based on Deep Learning K Priyadarsini, SK Janahan, S Thirumal, P Bindu, TAB Raj, S Majji Expert Clouds and Applications: Proceedings of ICOECA 2022, 367-375 , 2022 2022.0 Citations: 1
Improving discoverability and indexing of interplanetary file system using activitypub RK Anandan, SK Janahan, K Singh 2022 International Conference on Advances in Computing, Communication and … , 2022 2022.0 Citations: 3
A superlative groping on therapeutic properties of Premna latifolia extracts SK Janahan, A Sahayadhas 2020.0
Research on various tools in big data RS Karthiga, SK Janahan, UV Anbazhagu IJITEE 8 , 2019 2019.0 Citations: 3
A deep learning approach for predicting the active phytochemical constituent’s presence in premna latifolia leaf extracts data set SK Janahan, A Sahayadhas Science and Engineering Research Support Society 29, 1075-1080 , 2019 2019.0
Digital marketing in hotel industry SJ Parvez, HM Moyeenudin, S Arun, R Anandan, SK Janahan International Journal of Engineering & Technology 7 (2.21), 288-290 , 2018 2018.0 Citations: 98
Digital Marketing In Hotel Industry SJPHM Moyeenudin, S Arun, R Anandan, SK Janahan Іноземне Інтернет Джерело, 289 , 2018 2018.0 Citations: 2
Mining of high dimensional data using enhanced clustering approach S Sivakumar, K Narayanan, SP Chinnaraju, SK Janahan International Journal of Engineering & Technology 7 (2.21), 291-295 , 2018 2018.0
IoT based smart traffic signal monitoring system using vehicles counts SK Janahan, MRM Veeramanickam, S Arun, K Narayanan, R Anandan, ... International journal of engineering & technology 7 (2.21), 309-312 , 2018 2018.0 Citations: 71
R, Anandan & Shaik, Javed.(2018). IoT based smart traffic signal monitoring system using vehicles counts SK Janahan, V Murugappan, A Sahayadhas, K Narayanan International Journal of Engineering & Technology 7 (309), 10.14419 , 0 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
Digital marketing in hotel industry SJ Parvez, HM Moyeenudin, S Arun, R Anandan, SK Janahan International Journal of Engineering & Technology 7 (2.21), 288-290 , 2018 2018.0 Citations: 98
IoT based smart traffic signal monitoring system using vehicles counts SK Janahan, MRM Veeramanickam, S Arun, K Narayanan, R Anandan, ... International journal of engineering & technology 7 (2.21), 309-312 , 2018 2018.0 Citations: 71
R, Anandan & Shaik, Javed.(2018). IoT based smart traffic signal monitoring system using vehicles counts SK Janahan, V Murugappan, A Sahayadhas, K Narayanan International Journal of Engineering & Technology 7 (309), 10.14419 , 0 Citations: 4
Improving discoverability and indexing of interplanetary file system using activitypub RK Anandan, SK Janahan, K Singh 2022 International Conference on Advances in Computing, Communication and … , 2022 2022.0 Citations: 3
Research on various tools in big data RS Karthiga, SK Janahan, UV Anbazhagu IJITEE 8 , 2019 2019.0 Citations: 3
Digital Marketing In Hotel Industry SJPHM Moyeenudin, S Arun, R Anandan, SK Janahan Іноземне Інтернет Джерело, 289 , 2018 2018.0 Citations: 2
Face Emotion Detection Using Convolutional Neural Network (CNN) and OpenCV U Pandey, SK Janahan, S Kumar, U Kumar, H Maurya, K Divyansh Proceedings of the KILBY 100 7th International Conference on Computing Sciences , 2023 2023.0 Citations: 1
Recognition of the Multioriented Text Based on Deep Learning K Priyadarsini, SK Janahan, S Thirumal, P Bindu, TAB Raj, S Majji Expert Clouds and Applications: Proceedings of ICOECA 2022, 367-375 , 2022 2022.0 Citations: 1
Advancements in Automated Tumor Detection Screening: A Comprehensive Review and Comparative Analysis P Dalal, GK Guntamukkala, AV Vardhan, KGH Vijay, MN NM, SK Janahan 2024 International Conference on Communication, Computer Sciences and … , 2024 2024.0
Efillout: An Android App Built on React Native for Efficient Charging Station Navigation A Rk, K Alam, SK Janahan Proceedings of the KILBY 100 7th International Conference on Computing Sciences , 2023 2023.0
A superlative groping on therapeutic properties of Premna latifolia extracts SK Janahan, A Sahayadhas 2020.0
A deep learning approach for predicting the active phytochemical constituent’s presence in premna latifolia leaf extracts data set SK Janahan, A Sahayadhas Science and Engineering Research Support Society 29, 1075-1080 , 2019 2019.0
Mining of high dimensional data using enhanced clustering approach S Sivakumar, K Narayanan, SP Chinnaraju, SK Janahan International Journal of Engineering & Technology 7 (2.21), 291-295 , 2018 2018.0
