Recent Publications
Crop Disease Detection and Recommendation System
In the era of rapid technological advancement, agriculture is undergoing a digital transformation. Our Crop Disease Detection and Recommendation System helps farmers identify crop diseases and provides recommendations for crop and fertilizer selection through three key services: Disease Detection, Crop Recommendation, and Fertilizer Recommendation. Using a Convolutional Neural Network (CNN) with a 96.69% accuracy, the …
Identifying Challenges and Possible Ways to Improve the Effectiveness and Efficacy of Plant-Based Drugs in Traditional Medicine in Sri Lanka
According to the World Health Organization (WHO), approximately 80% of the global population relies on traditional medicine for their primary healthcare needs. Even in developed countries, there’s a growing popularity of complementary or alternative medicine. A worldwide survey on national policies and regulations for traditional medicine and herbal medicines reveals that around 50 countries, including …
A Comprehensive Review of Floating Photovoltaic Technology (FPVT) and Its Applications to Improved Efficiency.
The development of floating solar technology (FPV) is driven by decarbonization ambitions, the shortage of usable land, efficiency loss at high working cell temperatures, and the need for energy security. In 2024, the growth rate of this technology is expected to surpass 31% because of a combination of government efforts and scientific developments. Global energy …
Exploiting Intelligent Reflecting Surfaces for Interference Mitigation in Heterogeneous 6G
Intelligent reflecting surfaces (IRSs) have emerged as a revolutionary wireless networking paradigm for dynamically controlling propagation environments. This paper provides a comprehensive investigation of IRS-assisted interference mitigation for mmWave MIMO communication systems. A practical 3D clustered statistical spatial channel model is adopted for accurate analysis. Adaptive passive beamforming is achieved by formulating and solving an …
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Exploring the Potential of Artificial Intelligence in Personalized Radiotherapy Planning for Rare Cancers
The study of artificial intelligence (AI) in personalized radiotherapy planning for rare cancers manifests promising possibilities. Radiotherapy, utilizing high-energy ionizing radiation, has advanced with technological developments such as IMRT, SBRT, and IGRT, upgrading precision and facing challenges such as inherent cancer resistance. Rare cancers, accounting for 22% of global diagnoses, experience diagnostic difficulties and finite …
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