• A Bibliometric Analysis of Research on Techniques for Network Communications Security 

  Sikiru, Ismaeel Abiodun; Dossou, Michel (IEEE Xplore, 2024-01-31)

  Presently, security is very paramount in all endeavors that aim to guarantee seamless network communications, including our confidentiality, integrity, availability, and trust. Thus, the objective of this bibliometric ...
• Reliability Evaluation Framework for Centralized Agricultural Internet of Things (Agri-IoT) 

  Thiam, Fatoumata; Mbaye, Maissa; Flores, Maya; Wyglinski, Alexander (International Journal of Advanced Computer Science and Applications, 2024-01)

  This paper presents a holistic reliability evalua-tion framework for Agri-IoT based on real-world testbed and mathematical modeling of network failure prediction. A testbed has been designed, implemented, and deployed in ...
• Radio Coverage Prediction in Wireless Networks: A Bibliometric Study 

  Balogoun, Marianne Alfredine Omonlola; Houndji, Vinasétan Ratheil; Dossou, Michel; Honfoga, Anne-Carole (Springer Link, 2023-09-15)

  The problem of predicting radio coverage is a fundamental step in the wireless networks design process and is nowadays very helpful in reducing drive tests for monitoring. Among the continuous flow of research in this area, ...
• Mid@ndro: a Middleware Architecture for Malware Detection on Android 

  Sawadogo, Zakaria; Thioye, Babacar; Gaye, Ibrahima; Dembele, Jean-Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-12-29)

  Android is a highly popular platform for mobile devices; however, it is also vulnerable to malware attacks due to the platform's ability to allow users to install apps from unverified sources. This increases the risk of ...
• Towards a DeepMalOb Improvement in the Use of Formal Security Risk Analysis Methods 

  Sawadogo, Zakaria; Khan, Muhammad Taimoor; Dembelle, Jean Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-12-29)

  Researchers are concerned about the detection of obfuscated Android malware, and multiple studies have been proposed to address certain obfuscation techniques. However, the comprehensive consideration of all obfuscation ...
• Predicting the Risk of Electromagnetic Interference in Hospital Equipment Using Fuzzy Neural Networks 

  Hwata, C.; Rushingabigwi, G.; Gatera, O.; Twizere, C.; Mukanyiligira, D.; Thomas, B. N. (IEEE Xplore, 2023-08-28)

  Healthcare facilities are populated with electronic medical devices and many other wireless electronic devices for work purposes and for personal use. As they operate, electronic devices emit electromagnetic signals raising ...
• Detection of asphalt roads degradation using Deep Learning applied to Unmanned Aerial Vehicle imagery 

  Coulibaly, Adama; Ngom, Ibrahima; Dembélé, Jean Marie; Sadio, Ousmane; Tall, Marc Momar; Diagne, Ibrahima (2024-01-25)

  Asphalt roads deteriorate over time due to wear and tear, weather conditions and the effect of traffic loads. These degradations cause enormous damage to road users and economic losses to countries. In Senegal, the inspection ...
• Smart Anti-Theft Water Metering System 

  Effah, Emmanuel; Okai, George Essah Yaw; Aidoo, Joshua Kweku (IEEE Xplore, 2023-03-29)

  This paper presents a new approach to the design and development of a specific context-based smart water meter system and implementation methodology based on water flow sensor technology, the Internet of Things (IoT) and ...
• Prototype of Monitoring Transportation Pollution Spikes through the Internet of Things Edge Networks 

  Nizeyimana, Eric; Hanyurwimfura, Damien; Hwang, Junseok; Nsenga, Jimmy; Regassa, Dereje (Sensors, 2023-11-03)

  Air pollution is a critical problem in densely populated urban areas, with traffic significantly contributing. To mitigate the adverse effects of air pollution on public health and the environment, there is a growing need ...
• Bibliometric Analysis of the State of Research on Agroecology Adoption and Methods Used for Its Assessment 

  Nikiema, Théodore; Ezin, Eugène C.; Chogou, Sylvain Kpenavoun (Sustainability, 2023-11-04)

  As a sustainable and holistic approach to agriculture, agroecology has received considerable attention in recent years because of its potential to address the environmental, economic, and social challenges of agricultural ...
• Design and implementation of IoT sensors for nonvisual symptoms detection on maize inoculated with Exserohilum turcicum 

  Maginga, Theofrida J.; Bakunzibake, Pierre; Masabo, Emmanuel; Massawe, Deogracious P.; Agbedanu, Promise R.; Nsenga, Jimmy (Smart Agricultural Technology, 2023-05-29)

  Diseases on maize crops are highly caused by chronic and emerging pathogens that results in stagnant growth in the plant system. Several initiatives have been adopted to manage disease on crops which include new cultivation ...
• A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization 

  Effah, Emmanuel; Thiare, Ousmane; Wyglinski, Alexander M. (IoT, 2023-07-27)

  This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via a ...
• Zero-Vuln: Using deep learning and zero-shot learning techniques to detect zero-day Android malware 

  Sawadogo, Zakaria; Dembele, Jean-Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-09-22)

  The prevalence of cyber security threats, such as the Android Zero-day vulnerability, is becoming increasingly worrisome. With the widespread use of Android-powered mobile devices, attackers are leveraging zero-day ...
• Urban Challenges and Strategies in African Cities – A Systematic Literature Review 

  Kamana, Alanda A.; Radoine, Hassan; Nyasulu, Chimango (City and Environment Interactions, 2023-12-16)

  Highlights: Top-down master planning has prompted most of the challenges in African cities. The majority of urban challenges are related to climate change effects. Spatial planning models should be reoriented towards ...
• Internet of Things Based Quality and Environmental Monitoring System for Cassava Value Chain 

  Karerangabo, Gabriel; Armando, Egas; Gatera, Omar; Mugisha, Emmy (2023-10-31)

  Internet of Things (IoT) refers to the overall network of linked devices as well as the technology that enables communication between connected devices and the cloud. This technology is flexible and the best technology to ...
• Android Malware Detection: Feature Update Using Incremental Learning Approach: Further Investigation of UFILA 

  Sawadogo, Zakaria; Dembelle, Jean Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-03-29)

  Several kinds of mobile applications are available on platforms offering various services to users. Both malware and good applications are found in software repositories, which is a major cybersecurity problem. To address ...
• Android malware detection: An in-depth investigation of the impact of the use of imbalance datasets on the efficiency of machine learning models 

  Sawadogo, Zakaria; Dembele, Jean-Marie; Mendy, Gervais; Ouya, Samuel (IEEE Xplore, 2023-03-29)

  Machine learning techniques have become an essential part of research into the detection and classification of malicious applications. There are several approaches or algorithms that learn from existing data and predict ...
• A comparative study of Machine Learning-based classification of Tomato fungal diseases: Application of GLCM texture features 

  Nyasulu, Chimango; Diattara, Awa; Traore, Assitan; Ba, Cheikh; Diedhiou, Papa Madiallacké; Sy, Yakhya; Raki, Hind; Peluffo-Ordóñez, Diego Hernán (Heliyon, 2023-10-31)

  Globally, agriculture remains an important source of food and economic development. Due to various plant diseases, farmers continue to suffer huge yield losses in both quality and quantity. In this study, we explored the ...
• Survey of Detection and Identification of Black Skin Diseases Based on Machine Learning 

  Zinsou, K. Merveille Santi; Diop, Idy; Diop, Cheikh Talibouya; Bah, Alassane; Ndiaye, Maodo; Sow, Doudou (Springer Link, 2023-06-30)

  Due to their physical and psychological effects on patients, skin diseases are a major and worrying problem in societies. Early detection of skin diseases plays an important role in treatment. The process of diagnosis and ...
• Delay and size-dependent priority-aware scheduling for IoT-based healthcare traffic using heterogeneous multi-server priority queueing system 

  Asingwire, Barbara Kabwiga; Sibomana, Louis; Ngenzi, Alexander; Kabiri, Charles (IET Communications, 2023-08-24)

  Internet of Things (IoT) based healthcare applications are time-sensitive and any delay can cause alarming situations, including death of patients. The Earliest Deadline First (EDF) scheduling scheme has been proposed for ...

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