• Efficient segmentation and classification of the lung carcinoma via deep learning. 

  Yamuna Devi, M. M., J. Jeyabharathi, S. Kirubakaran, Sreekumar Narayanan, T. Srikanth, and Prasun Chakrabarti. (Multimedia Tools and Applications, 2023)

  Lung malignancy represents a group of diseases that affect people worldwide. According to the reports, 1.69 million people died in 2015. Presymptomatic work raises patient ability and boosts treatment success. The accuracy ...
• A Novel Approach for Analysis and Prediction of Students Academic Performance Using Machine Learning Algorithms 

  Viswanathan, Sankaranarayanan; Vengatesh, Kumar (2023-02-01)

  Educational data mining has become an efective tool for exploring the hidden relationships in educational data and predicting students’ academic performance. The prediction of student academic performance has drawn ...
• A review of deep learning models to detect malware in Android applications 

  Mbunge, Elliot; Benhildah, Muchemwa; Batan, John; Nobuhle, Mbuyisa. (Cyber Security and Applications, 2023-03-18)

  Android applications are indispensable resources that facilitate communication, health monitoring, planning, data sharing and synchronization, social interaction, business and financial transactions. However, the rapid ...
• Similarity-Based Gene Duplication Prediction in Protein-Protein Interaction Using Deep Artificial Ecosystem Network 

  SRINATH DOSS1, JOTHI PARANTHAMAN2 , VINSTON RAJA R3 , JOHN ANAND G; Doss, Srinath; Paranthaman, Jothi; Raja, Vinston (2022)

  In the living organism, almost entire cell functions are performed by protein-protein interactions. As experimental and computing technology advances, yet more Protein-Protein Interaction (PPI) data becomes processed, ...
• A predictive typological content retrieval method for real-time application using multilingual natural language processing 

  Baskar, S; Dhote, Sunita; Dhote, , Tejas; Jayanandini, Gopalan; Doss, Srinath (2022)

  Natural language processing (NLP) is widely used in multi-media real-time applications for understanding human interactions through computer aided-analysis. NLP is common in auto-filling, voice recognition, typo-checking ...
• Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems 

  Mbunge, Elliot; Muchemwa, Benhildah; Batani, John (2022)

  Since the outbreak of COVID-19, the attention has now shifted towards universal vaccination to gracefully lift strict COVID-19 restrictions previously imposed to contain the spread of the disease. Sub-Saharan Africa ...
• Synthesis, characterization of nitro or amino substituted pyridyl ligands bridged by an ester or ether bond, and their antibacterial assessment against drug resistant bacteria. 

  Matshwele, J.T., Jongman, M., Koobotse, M.O., Mazimba, O., Mapolelo, D., Nkwe, D.O.; Matshwele, J.T.; Jongman, M; Koobotse, M.O (2022)

  A series of ester and ether bridged compounds bearing the nitro and amino moieties were synthesized and characterized, in order to assess their ability to potentially serve as antibacterial agents against drug ...
• Metallo-Drugs as Promising Antibacterial Agents and Their Modes of Action, 

  Nareetsile, Florence M.; Matshwele, James; Odisitse, Sebusi (2022)

  Antibiotic resistance has been a growing worldwide public health issue. The World Health Organization (WHO) has stated that the search for new antibiotics is slow, while antibiotic resistance is growing. WHO has ...
• Crystal Structure of Pyridin-4-ylmethyl 4-Nitrobenzoate, C13H10N2O4 

  Matshwele, James; Odisitse, Sebusi; Mazimba, Ofentse; Nareetsile, Florence (2022)

  The structure of pyridin-4-ylmethyl 4-nitrobenzoate was determined by the single-crystal X- ray diffraction method. The compound crystallized in a monoclinic system, P21/n, and the unit cell parameters are, a= 9.981 (2), ...
• Future of Internet of Everything (IOE). 

  Sivakumar, Narayanan; Kumar, Rajiv (IRJCS:: International Research Journal of Computer Science, 2021-04-27)

  In the world, the man matters, not the machine, people need to be care, not data. There is transition from information technology to human technology. The answer is internet of everything (IoE). The int ernet of everything ...
• Feature Selection Methods: a Survey for Effective Data Classification 

  Venkataraman, Sivakumar; Sivakumar, Subitha; Balamurugan, Appavu alias (International Journal of Recent Scientific Research, 2021)

  Data is growing every day. This daily growing data is called Big Data. The capturing and accessing and preserving of these data is different and difficult. If capturing and preserving of data became very difficult, then ...
• A survey on soft computing-based high-utility item sets mining 

  Kumar, Rajiv; Singh, Kuldeep (2022)

  Traditional frequent itemsets mining (FIM) suffers from the vast memory cost, small processing speed and insufficient disk space requirements. FIM assumes only binary frequency value for items in the dataset and assumes ...
• Factors Affecting Pre-Service Science Teachers ‘level of Awareness on Safety, Health Measures and Risk Management during Science Laboratory Practical. 

  Kadiyala, A. and Kealeboga, C.,; Kadiyala, A.; Kealeboga, C (2021)

  t Science laboratory practical work is part of the secondary school curriculum. However, it is critical that the pre-service science teacher is provided with knowledge, skills and competencies that allows teachers to ...
• Cybersecurity challenges in energy sector (virtual power plants)-can edge computing principles be applied to enhance security? 

  Venkatachary, S.K.,; Alagappan, A; Andrews, L.J.B (2021)

  Distributed generators (D.G.’s) enable us to generate, supply and be self-reliant on power while also allows us to supply power to meet the demand through virtual power plants. The virtual power plants also help us analyse, ...
• Epvmp: Enhanced Probabilistic Based Vehicular Multi-Hop Strategies Protocol For Crisis In Vanets Broadcasting 

  Narayanan, Sreekumar; Ramadass, Sudhir; Rajivkumar (2021)

  Vehicle-to-Vehicle (V2V) transmission is utilized for most security-related programs targeting Vehicular Ad-hoc Networks (VANETs) to disseminate safety-related knowledge to nearby cars. However, the traditional broadcasting ...
• Memetic Optimization with Cryptographic Encryption for Secure Medical Data Transmission in IoT-Based Distributed Systems 

  Srinath, Doss; Paranthaman, Jothi; Gopalakrishnan, Suseendran; Duraisamy, Akila; Pal, Souvik (2021)

  In the healthcare system, the Internet of Things (IoT) based distributed systems play a vital role in transferring the medical-related documents and infor mation among the organizations to reduce the replication in medical ...
• Investigating the Level of Awareness on Information Security Amongst Users at Botho University. 

  Mbereki, Kabelo; Doss, Srinath (2021)

  The growth of technology advancement has promoted a borderless environment among users, organizations, global industry and easy access to information. The use of the internet and computer systems in a teaching environment ...
• Software-Defined Networking: An Evolving Network Architecture—Programmability and Security Perspective 

  Nitheesh, Kaliyamurthy,; Taterh, Swapnesh; Shanmugasundaram, Suresh; Saxena, Ankit (2021)

  Software-defined networking is an evolving network architecture beheading the traditional network architecture focusing its disadvantages in a limited perspective. A couple of decades before, programming and networking ...
• COVID-19 Digital Vaccination Certificates and Digital Technologies: Lessons from Digital Contact Tracing Apps 

  Mbunge, Elliot; Fashoto, Stephen G; Batani, John (SSRN Electronic Journal, 2021-01)

  The successful development of COVID-19 vaccines accelerates global post-pandemic recovery by vaccinating populations, targeting priority groups to reduce secondary transmission. This facilitates relaxation of imposed ...
• Efficient Active Learning Constrains for Improved Semi-Supervised Clustering Performance 

  Eswaraprasad, Ramkumar; Vengidusamy, Shanmugam (International Journal of Computer Science and Electronics Engineering, 2015)

  This paper presents a semi supervised clustering technique with incremental and decremented affinity propagation (ID-AP) that structures labeled exemplars into the AP algorithm and a new method for actively selecting ...

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