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85 articles for “N.M. Adam”
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Research ArticleOpen accessIn the abstractRemote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning TechniquesMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariThis study investigates the classification of aerial images depicting transmission towers, forests, farmland, and mountains. To complete the classification job, features are extracted from input photos using a Convolutional Neural Network (CNN) architecture. Then, the images are classified using Softmax. To test the model, we ran it for ten epochs using a batch size of 90, the Adam optimizer, and … …Journal of Computer Science, Vol. 21, Issue 3 · 11 Feb 2025 · 10,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Method for Fast and Robust Intensity Based 2D/3D Registration in Differentiable FrameworkAgung Alfiansyah, Izzati Muhimmah, Arif Sasongko et al.This study introduces an innovative intensity-based registration method designed to align 3D image data volumes, such as Computed Tomography (CT), with 2D data, such as X-ray images, a crucial component of intra-operative navigation in image-guided surgery. Leveraging advanced autodifferentiable reconstruction techniques based on the GPU-accelerated Siddon algorithm, the proposed approach facilitates the generation of differentiable Digitally Reconstructed Radiographs (DRRs), enabling … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,820 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDFCite
Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractBOOM: Rainbow’s Gravity as the Source of Light RefractionMohsen LutephyAli, A. F., Faizal, M., & Majumder, B. (2015). Absence of an effective Horizon for black holes in Gravity’s Rainbow. Europhysics Letters, 109(2), 20001. https://doi.org/10.1209/0295-5075/109/20001 Ali, A. F., & Khalil, M. M. (2015). A proposal for testing gravity’s rainbow. Europhysics Letters, 110(2), 20009. https://doi.org/10.1209/0295-5075/110/20009 Amelino-Camelia, G., Ellis, J., Mavromatos, N. E., & Nanopoulos, D. V. (1997). Distance Measurement and Wave … …Physics International, Vol. 12, Issue 1 · 23 Dec 2021 · 8,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeafsnapNet: An Experimentally Evolved Deep Learning Model for Recognition of Plant Species based on Leafsnap Image DatasetEmmanuel Adetiba et al.Plants are very important living organisms on earth because humans and animals depend on them for nutrition, oxygen, medicine and balance in the ecosystem. Therefore, plant species recognition is critical to the improvement of agricultural productivity, mitigation of climate change and the discovery of new medicinal plants. However, species recognition has remained a difficult task even for trained botanists, because … …Journal of Computer Science, Vol. 17, Issue 3 · 1 Apr 2021 · 7,956 accessesView PDFCite
Research ArticleOpen accessIn the abstractPossible Therapeutic Role of Jasonia Candicans and Jasonia Montana Extracts in the Regression of Alzheimer’s Disease in Experimental ModelHanaa H. Ahmed, Hoda F. Booles, Wagdy K.B. Khalil et al.The present article aimed to investigate the potential role of the ethanolic extracts of the aerial parts of Jasonia candicans and Jasonia montana in management of Alzheimer’s Disease (AD) in experimental model. Supplementation of drinking water AlCl3 (0.3%) for 16 weeks induced AD in male rats with siginifcant increase in brain Acetylcholinesterase (AchE) activity, Tumour Necrosis Factor (TNF-α), Transforming Growth … …American Journal of Biochemistry and Biotechnology, Vol. 9, Issue 2 · 20 Jun 2013 · 7,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractProsthetic Knee Mechanism Using a Double Locking System as a Safety MeasureEicarl Saynes Vazquez, Esther Lugo GonzálezThe design of a four-link knee prosthesis mechanism with two locking systems activated during the flexion/extension phase is presented. The first is geometric, totally mechanical and activated by the user's weight. The second is variable and is activated automatically when walking on irregular or special surfaces is required. The links' dimensions were selected using the differential evolutionary optimization algorithm to … …Journal of Mechatronics and Robotics, Vol. 8, Issue 1 · 12 Feb 2024 · 5,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multi-Criteria Optimization Approach to Cam Curve Design Combining Different Splines Given by Fixed and Adjustable CheckpointsLéo Moussafir, Vigen ArakelianThis study proposes a multi-criteria design optimization of cam mechanisms. This approach is based on the multistage interconnection of different tools: MATLAB, ADAMS, and mode frontier. It consists of three main issues: (i) The polynomial representation of splines given by checkpoints defining the specific motion of the follower; (ii) The connection of these splines by different degrees of fitting in … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 24 Mar 2023 · 6,646 accessesView PDFCite