• Enhancing Identification of Meteorological and Biological Targets Using the Depolarization Ratio for Weather Radar: A Case Study of FAW Outbreak in Rwanda 

  Maniraguha, Fidele; Vodacek, Anthony; Kim, Kwang Soo; Ndashimye, Emmanuel; Rushingabigwi, Gerard (Remote Sensing, 2024-07-09)

  Leveraging weather radar technology for environmental monitoring, particularly the detection of biometeors like birds, bats, and insects, presents a significant challenge due to the dynamic nature of their behavior. Unlike ...
• Using wavelet transform and hybrid CNN – LSTM models on VOC & ultrasound IoT sensor data for non-visual maize disease detection 

  Maginga, Theofrida Julius; Masabo, Emmanuel; Bakunzibake, Pierre; Kim, Kwang Soo; Nsenga, Jimmy (Heliyon, 2024-02-17)

  Early detection of plant diseases is crucial for safeguarding crop yield, especially in regions vulnerable to food insecurity, such as Sub-Saharan Africa. One of the significant contributors to maize crop yield loss is the ...
• Modelling and optimization of rice production in Nigeria bibliometric analysis and future research 

  Dzarma, Ezra Daniel; NYOR, Ngutor; Degla, Guy (Academic Journals, 2024-03-31)

  Rice production plays a vital role in enhancing employment opportunities, GDP, and food security, thereby contributing to the prosperity of the country. This study aimed to evaluate the current state of research in the ...
• Adopting a Neuro-Fuzzy Logic Method for Fall Armyworm Detection and Monitoring Using C-Band Polarimetric Doppler Weather Radar With Field Verification 

  Maniraguha, Fidele; Vodacek, Anthony; Kim, Kwang Soo; Ndashimye, Emmanuel; Rushingabigwi, Gerard (IEEE Xplore, 2024-04-30)

  In response to the persistent challenges posed by fall armyworm (FAW) outbreaks in Rwanda’s maize production since 2017, this research introduces an innovative strategy integrating fuzzy logic and neural network methodologies, ...
• Performance Analysis of Delay and Size-Dependent Scheduling for IoT-based Healthcare Traffic Using Heterogeneous Multi-Server Priority Queueing System 

  Asingwire, Barbara Kabwiga; Sibomana, Louis; Ngenzi, Alexander; Kabiri, Charles (IEEE Xplore, 2024-03-20)

  Time is very crucial in Internet of Things (IoT)-based healthcare applications and any delay can lead to dangerous scenarios, including patient deaths. The Earliest Deadline First (EDF) scheduling mechanism has been ...
• State-of-the-Art Review on Recent Trends in Automatic Speech Recognition 

  Kandji, Abdou Karim; Kandji, Abdou Karim; Ndiaye, Samba (Springer Link, 2024-06-29)

  In the ever-changing technological landscape, speech recognition stands out as a growing discipline within the field of natural language processing (NLP). This major breakthrough in human-machine interfaces has dramatically ...
• Kalman Filter and Artificial Neural Network for Real time Sensor Denoising 

  Armando, Egas; Hanyurwimfura, Damien; Gatera, Omar; Nduwumuremyi, Athanase (IEEE Xplore, 2024-02-26)

  Obtaining more accurate and precise information from real-time data requires highly precise sensor readings. The priori and the fundamental step before proceeding with further data analysis and taking conclusions is the ...
• Optimizing Mobility in LoRaWan: A Resource Reservation Approach 

  Fall, Ndeye Penda; Marot, Michel; Diallo, Cherif; Bernard, Antoine; Roujanski, Gatien (IEEE Xplore, 2024-06-26)

  The evolution of vehicular networks continues with the advent of LPWAN (Low Power Wide Area Network). Thus, several studies currently concern the integration of LPWANs with ITS (Intelligent Transportation Systems). Among ...
• User-Centred Design of Machine Learning Based Internet of Medical Things (IoMT) Adaptive User Authentication Using Wearables and Smartphones 

  Mavhemwa, Prudence M.; Zennaro, Marco; Nsengiyumva, Philibert; Nzanywayingoma, Frederic (Springer Link, 2023-07-09)

  As the world grapples with an increase in diseases including COVID-19, the Internet of Medical Things (IoMT) emerges as a complementary technology to the healthcare staff, which is constantly overburdened. Untrained users’ ...
• Two Hops IRS Optimization in Urban Mobile Environment 

  Fall, Ndeye Penda; Said, Adel Mounir; Marot, Michel; Diallo, Cherif; Afifi, Hossam; Moungla, Hassine (ACM Digital Library, 2023-10-30)

  he intelligent reflective surface (IRS) is a new technology that can reduce the number of base stations and improve signal quality. Whereas in the literature, IRS is often considered in one-hop scenarios, we propose to ...
• 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 ...

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