• An Android-Based Internet of Medical Things Adaptive User Authentication and Authorization Model for the Elderly 

  Prudence, M. Mavhemwa; Marco, Zennaro; Philibert, Nsengiyumva; Frederic, Nzanywayingoma (MDPI-Journal of Cybersecurity and Privacy, 2024)

  Globally, 77% of the elderly aged 65 and above suffer from multiple chronic ailments, according to recent research. However, several barriers within the healthcare system in the developing world hinder the adoption of ...
• Measurement of Eastern Rwanda’s Wetlands to Assess the Water Quality: Case of Lake Cyohoha North 

  W., Habarurema; G., Rushingabigwi; A., Vodacek; L., Sibomana; G. B., Ishimwe; A., Uwonkunda (IEEE, 2024)

  Rwanda’s natural resources are threatened by the over-increasing population pressure. Impacts on the eastern Rwanda ecosystems include land degradation, soil erosion and climate change; water quality is highlighted as the ...
• Remote Monitoring of Micro-Hydropower plants using Python 

  Atsafack, Blondelle Melina; Frederic, Nzanywayingoma; Charles, Kabiri; Gerard, Rushingabigwi (IEEE, 2024)

  Hydraulic turbines and synchronous generators are two critical components of micro-hydropower plants, and their maintenance is crucial to ensure the longevity of the system. However, maintenance can be challenging in rural ...
• Edge-AI for Monitoring Air Pollution from Urban Waste Incineration: A Survey 

  Fatou, Ciré Emilie Sané; Maissa, Mbaye; Bamba, Gueye (IoT Edge Intelligence, 2024)

  Air pollution is a worldwide problem causing many deaths per year. Air pollutants are embedded in the human body causing respiratory and cardiovascular diseases. Indeed, this pollution is caused by climatic hazards and ...
• FFSTC: Fongbe to French Speech Translation Corpus 

  D. Fortuné, Kponou; Fréjus, A. A. Laleye; Eugène, Cokou Ezin (ELRA and ICCL, 2024)

  In this paper, we introduce the Fongbe to French Speech Translation Corpus (FFSTC). This corpus encompasses approximately 31 hours of collected Fongbe language content, featuring both French transcriptions and corresponding ...
• Review of Intrusion Detection Systems for Supervisor Control and Data Acquisition: A Machine Learning Approach 

  Hermenegildo, da Conceição Aberto; Jean, Marie Dembele; Idy, Diop; Alassane, Bah (Science, Engineering Management and Information Technology, 2024)

  Protecting networks and systems from unauthorized access and cyber threats is increasingly critical. Intrusion Detection Systems are essential in achieving this, especially in Industrial Control Systems such as Supervisor ...
• Cross-Regional Transferability of AI Crop-Type Mapping: Insights and Challenges 

  Valinho, António; Geoffrey, Kimani; Moise, Busogi (Cross-Regional Transferability of AI Crop-Type Mapping: Insights and Challenges, 2024)

  Accurate crop discrimination is vital for effective agricultural planning and sustainability management, especially in regions like SubSaharan Africa (SSA), where small-scale farming predominates and ground data is scarce. ...
• Enhanced neonatal screening for sickle cell disease: Human-guided deep learning with CNN on isoelectric focusing images 

  Kpangni Alex, Jérémie Koua; Cheikh, Talibouya Diop; Lamine, Diop; Mamadou, Diop (Journal of Infrastructure, Policy and Development, 2024)

  Accurate detection of abnormal hemoglobin variations is paramount for early diagnosis of sickle cell disease (SCD) in newborns. Traditional methods using isoelectric focusing (IEF) with agarose gels are technician-dependent ...
• Farm Households Food Security Status Automation Through Supervised Learning Approach: A Look at Agroecological Farms 

  Theodore, Nikiema; Eugene, C. Ezin; Sylvain, Kpenavoun Chogou; Pamela, G. Katic (IEEE, 2024)

  Food insecurity is a pervasive phenomenon in Africa, and the paradox is that it affects farming households more than others. Although early and accurate detection of famine in farm households is a complex challenge, it ...
• Categorizing Farms to Promote Agroecology: A Supervised Learning Approach 

  Theodore, Nikiema; Eugene, C. Ezin; Sylvain, Kpenavoun Chogou (IEEE, 2024)

  Agroecology promotion is nowadays an important objective recognized almost everywhere because of the perspectives it offers in terms of sustainability. However, despite the initiatives of numerous actors around the world, ...
• Hybridization of Learning Techniques and Quantum Mechanism for IIoT Security: Applications, Challenges, and Prospects 

  Ismaeel, Abiodun Sikiru; Ahmed, Dooguy Kora; Eugène, C. Ezin; Agbotiname, Lucky Imoize; Chun-Ta, Li (MDPI-Electronics, 2024)

  This article describes our point of view regarding the security capabilities of classical learning algorithms (CLAs) and quantum mechanisms (QM) in the industrial Internet of Things (IIoT) ecosystem. The heterogeneity ...
• Weighted naïve bayes multi-user classification for adaptive authentication 

  Prudence, M Mavhemwa; Marco, Zennaro; Philibert, Nsengiyumva; Frederic, Nzanywayingoma (Journal of Physics Communications, 2024)

  Machine learning classification algorithms have been extensively utilized in addressing user authentication challenges. Nonetheless, a majority of solutions categorize users into three classes, whereas adaptive authentication ...
• 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 ...

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