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Browsing ICTs including Big Data and Artificial Intelligence by Title

Browsing ICTs including Big Data and Artificial Intelligence by Title

Now showing items 1-20 of 62

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, ...
Android Malware Classification: Updating Features Through Incremental Learning Approach(UFILA)

Sawadogo, Zakaria; Mendy, Gervais; Dembelle, Jean Marie; Ouya, Samuel (IEEE Xplore, 2022-03-11)

Exponential growth of the use of connected objects, in particular of smartphones, is the consequence of the digitization of services. All types of applications, from the least critical to the most critical are available ...
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 ...
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: Investigating the impact of imbalanced data-sets on the performance of machine learning models

Sawadogo, Zakaria; Mendy, Gervais; Marie Dembele, Jean; Ouya, Samuel (IEEE Xplore, 2022-03-11)

Artificial intelligence has revolutionized many areas of research, including research on malicious application detection and classification. Nowadays, there are many approaches that learn from existing data and predict the ...
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 ...
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 ...
Bio-inspired Solution for Cluster-Tree Based Data Collection Protocol in Wireless Sensors Networks

Kponhinto, Gérard; Thiare, Ousmane; Adamou Abba Ari, Ado; Mourad Gueroui, Abdelhak; Khemiri-Kallel, Sondès; Hwang, Junseok (IEEE Xplore, 2023-06-21)

The effectiveness of WSNs depends on the data collection scheme since the design of an energy-efficient, long-time WSN has been a challenge for over a decade. To address this issue, we propose a Cluster-tree Data Collection ...
Bird Sound Classification Using GLCM Features and LightGBM Applied to Farm Monitoring

Kazeneza, Micheline; Kwabla Amenyedzi, Destiny; Vodacek, Anthony; Hanyurwimfura, Damien; Ndashimye, Emmanuel (IEEE Xplore, 2023-08-07)

Bird sound classification is an important task in the implementation of automatic farm monitoring systems, as many birds are harmful threats to crop farms, especially maize, sorghum, and rice farms. The ability to automatically ...
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 ...
A Comparative Study of Regressors and Stacked Ensemble Model for Daily Temperature Forecasting: A Case Study of Senegal

Nyasulu, Chimango; Diattara, Awa; Traore, Assitan; Deme, Abdoulaye; Ba, Cheikh (2023-02-21)

Over the Sahel region, air temperature is anticipated to rise by 2.0 to 4.3 ∘C by 2080. This increase is likely to affect human life. Thus, air temperature forecasting is an important research topic. This study compares ...
DeepMalOb: Deep Detection of Obfuscated Android Malware

Sawadogo, Zakaria; Jean-Marie, Dembele; Attoumane, Tahar; Gervais, Mendy; Ouya, Samuel (Springer, 2023-02-21)

The detection of malware android became very crucial with the use of obfuscation techniques by developers of malicious applications. In the literature several approaches have been proposed to take into account certain ...
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 ...
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 ...
Design of a Decentralized and Predictive Real-Time Framework for Air Pollution Spikes Monitoring

Nizeyimana, Eric; Hanyurwimfura, Damien; Shibasaki, Ryosuke; Nsenga, Jimmy (IEEE, 2021-06-02)

Exposure to air pollution spikes cause health problems to regularly exposed organisms, raising the need to monitor them in real-time. Existing air pollution monitors mainly use a cloud-centric design considering relatively ...
Design of Smart IoT Device for Monitoring Short-term Exposure to Air Pollution Peaks

Nizeyimana, Eric; Nsenga, Jimmy; Shibasaki, Ryosuke; Hanyurwimfura, Damien; Hwang, JunSeok (International Journal of Advanced Computer Science and Applications(IJACSA), 2022-01)

Air pollution spikes have been causing harm to human beings and the environment. Most exposure to Air pollution spikes has demonstrated a significant impact on mental health, especially children at an early age. That lead ...
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 ...
Developing an IoT-based Conversational AI Recommender Assistant for Vital Sign Predicted Anomalies

Omar, Akram Ali; Maginga, Theofrida Julius; Rutunda, Samuel; Nzanywayingoma, Frederic; Nsenga, Jimmy (ACM Digital Library, 2023-06-27)

In most real-time scenarios such as emergency first response or a patient self-monitoring using a wearable device, likely, accessing a healthcare physician for assessing potential vital sign anomalies and providing a ...
Effect of Window Size on PAPR Reduction in 4G LTE Network Using Peak Windowing Algorithm in Presence of Non-linear HPA

Maniraguha, Fidele; Hanyurwimfura, Damien; Nizeyimana, Eric (IEEE, 2020-03)

Orthogonal frequency division multiplexing (OFDM) was endorsed in recent digital communication technologies such as 4G-LTE to cope with multipath fading channel, and respond to increasingly high data rate demand. Despite ...
Energy Efficient Cloud Data Center Using Dynamic Virtual Machine Consolidation Algorithm

Thiam, Cheikhou; Thiam, Fatoumata (Springer Link, 2019)

In Cloud Data centers, virtual machine consolidation on minimizing energy consumed aims at reducing the number of active physical servers. Dynamic consolidation of virtual machines (VMs) and switching idle nodes off allow ...

Now showing items 1-20 of 62

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Browsing ICTs including Big Data and Artificial Intelligence by Title

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