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Research ArticleOpen accessIn the keywordsGamma Radiosensitivity Study on Long Bean (Vigna sesquipedalis)Ellyfa Kon, Osumanu Haruna Ahmed, Shaharudin Saamin, Nik Muhamad Ab. MajidThis study was conducted to determine the LD50 and effect of gamma ray on germination percentage, plant height, survival percentage, root length, root dry weight and shoot dry weight of seedlings derived from seeds of long bean (Vigna sesquipedalis). Seeds of this crop were treated with 300, 400, 500, 600 and 800 Gy gamma rays at Malaysian Institute of Nuclear … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 8,601 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInfluence of Drought Stress on Growth and Yield of Soybean (Glycine max L.) Genotypes in Northern GhanaIsaac Kwahene Addai, Alhassan Bawa, Maganoba CharlesStudies on induced mutation were conducted and the results indicated that stable, but desirable soybean mutant genotypes with improved agronomic traits have been produced. A series of evaluations of these mutant genotypes had earlier on been carried out and high-yielding ones such as 150, 200, 250, and 300 Gy have been identified. In the present study, the above genotypes were … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 1 Jun 2023 · 6,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power PlantSoobin Jeon, Dongmahn SeoA solar panel generates electricity power using the sun's rays. It isusually located on a rooftop or open field without shadow. This solar panelis hard to be tested by nonprofessionals. Therefore, we propose a detectingsystem for a faulty solar panel using a drone with an RGB camera and athermal camera. The drone is applied for collecting aerial videos. The RGBcamera … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 4,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransfer Learning-Driven Binary Classification of Chest X-ray for Pneumonia Using Deep Convolutional ArchitecturesNusrath Fathima, Pradeep KumarPneumonia is the most common infectious cause of lung inflammation, resulting from the presence of viruses or bacteria in the microscopic air sacs. In recent years, artificial intelligence, particularly deep learning, has gained significant traction in the field of medical imaging. Early detection and diagnosis of pneumonia using chest X-rays can support radiologists in clinical decision-making and subsequent treatment planning, … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,547 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Machine Learning Algorithms for Skin Cancer DetectionVineeth Victor, Amit Kumr Tyagi, Khushboo Tripathi et al.The skin is the largest organ in the human body, covering an area of around 20 square feet. Our skin keeps us safe from germs and the environment, helps us regulate our body temperature, and gives us the ability to feel touch, heat, and cold. More than 95 percent of all skin cancers are caused by ultraviolet (UV) radiation. UV … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 1,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Computational Efficiency Analysis of LSB and Hybrid Steganographic MethodsDivya Sharma, Chander PrabhaElectronic Medical Images (EMI) are of various types such as X-rays, CT scans, MRIs, etc. EMIs are generally large, but they vary in dimensions and sizes based on the body part to which they belong. Not much research has been done to secure EMIs due to their varied and large sizes, while ensuring their accessibility for real-time transmission. Where access … …Journal of Computer Science, Vol. 21, Issue 10 · 28 Nov 2025 · 2,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractPleural Effusion Detection Using Optimized Pretrained ModelsRehab Fathi Ibrahim, Nashwa Mohamed Elsayed et al.Pleural effusion is an abnormal accumulation of fluid in the pleural cavity, posing a significant thoracic issue with various causes. Even with a variety of diagnostic techniques, accurate diagnosis remains challenging. Delays in diagnosis and treatment heighten the risks of the disease. In this paper, we introduce a novel approach by leveraging the Grey Wolf Optimizer (GWO) to systematically optimize … …Journal of Computer Science, Vol. 21, Issue 8 · 17 Oct 2025 · 2,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadiation Triggered Phenotypic Changes of Regulatory T CellsLantao Liu, Yan Peng, Deqin Zhang, Dongsheng NiuIonizing radiation disrupts the immune balance easily. Regulatory T (Treg) cells directly affect the immune balance after radiation exposure. Meanwhile, the present study is to investigate the survival ability and phenotypic changes of Treg cells induced by 60Co γ-rays in order to expand the understanding on how Treg cells modulated by radiation. Mice lymphocytes were isolated from thymus and spleen … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 20 Mar 2022 · 5,830 accessesView PDFCite