A5075297265- AI in cancer detection
- Complex Network Analysis Techniques
- Nonmelanoma Skin Cancer Studies
- Biometric Identification and Security
- Advanced Optical Network Technologies
- Face recognition and analysis
- Artificial Intelligence in Healthcare
- Network Traffic and Congestion Control
- Face and Expression Recognition
- COVID-19 diagnosis using AI
- Network Security and Intrusion Detection
- Retinal and Optic Conditions
- Liver Disease Diagnosis and Treatment
- Social Capital and Networks
- Retinal Diseases and Treatments
- Personality Traits and Psychology
- Lung Cancer Diagnosis and Treatment
- Internet Traffic Analysis and Secure E-voting
- Advanced Database Systems and Queries
- Energy Efficient Wireless Sensor Networks
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Cutaneous Melanoma Detection and Management
- Social Media and Politics
- Distributed and Parallel Computing Systems
Kwara State Polytechnic
2013-2024
One of the most promising research initiatives in healthcare field is focused on rising incidence skin cancer worldwide and improving early discovery methods for disease. The significant factor fatalities caused by late identification likelihood human survival may be significantly improved performing an diagnosis followed appropriate therapy. It not a simple process to extract elements from photographs tumors that used prospective cancer. Several deep learning models are widely efficient...
Abstract Pulmonary diseases are various pathological conditions that affect respiratory tissues and organs, making the exchange of gas challenging for animals inhaling exhaling. It varies from gentle self-limiting such as common cold catarrh, to life-threatening ones, viral pneumonia (VP), bacterial (BP), tuberculosis, well a severe acute syndrome, coronavirus 2019 (COVID-19). The cost diagnosis treatment pulmonary infections is on high side, most especially in developing countries, since...
Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has recently gained a lot of interest due to its improved ability lessen power consumption and MEC offload delay. In recent decades, the need for wireless communications increased tremendously. Fifth-generation (5G) will soon be widely used offer much more functionality than fourth generation (4G). Between 2027 2030, an innovative communication paradigm is known as sixth (6G) system projected introduced with full...
Millions of people around the world are infected with age-related macular degeneration (AMD) disease. It is not easily detected in intermediate stage, as it typically asymptomatic. Moreover, ideal learning trends for AMD professional advice identifying those who at this stage condition, instructing them on ways to screen early diagnosis choroidal neovascular level before significant vision loss incurred, and encouraging think about taking nutritional supplements that may lessen likelihood...
The liver is a crucial organ in the human body and performs vital functions essential for overall health, including metabolism, immunity, digestion, detoxification, vitamin storage. Detecting diseases at an early stage poses challenges due to liver's ability function adequately despite partial damage. Early detection as have significant clinical socio-economic impacts, affecting other systems requiring timely intervention improve patient survival rates. Classical diagnostic methods disorders...
This paper studies the performance of different network devices in an Ethernet based environment. That is Hub, Switch and Bridge local area networks (LANs) order to know which among these three mentioned above performs best terms packet transfer, collision count delay. The simulation was carried out using OPNET IT Guru Academic Edition 9.1. To observe devices, scenarios were presented. In first scenario, connected with one hub 16 nodes; second scenario two hubs a switch while third bridge....
Personality clusters such as the Dark and Light Triad are going through an exponential investigation. On one hand, traits characterize behaviors associated primarily with aversive outcomes, while on other composed of linked to prosocial responses. Most studies that sought map investigate both triads performed in North American or European contexts. Thus, we analyzed structure two most used short measures (i.e., Short Scale) a sample 2,335 adults from Poland, Brazil, Nigeria, Colombia, Peru....