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Academic Articles & Research Papers
Showing 20 of 40 academic articles
Nurbaiti Nurbaiti, Ruqiah Ganda Putri Panjaitan, Titin Titin • Unnes Science Education Journal
(2017)
This study aimed to determine the feasibility of adobe flash-based interactive media on the material of respiratory system. This research was a descriptive qualitative. The data were validated by using questionnaire. The validation was done...
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Open Access (DOAJ)
DOI: 10.15294/usej.v6i3.20350
Lalrengpuii Sailo, Ramendra Das • International Journal of Bio-Resource and Stress Management
(2023)
Heat stress is one of the most important climatic conditions which adversely affects agricultural and livestock production worldwide. High ambient temperature with direct and indirect solar radiation, wind speed and relative ...
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Open Access (DOAJ)
Sudhirkumar V. Barai • Transport
(2003)
Data mining is the extraction of implicit, previously unknown and potentially useful information from data. In recent time, data mining studies have been carried out in many engineering disciplines. In this paper the background of data mini...
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DOI: https://doi.org/10.3846/16483840.2003.10414100
Rui Wu, Hongpu Kang, Fuqiang Gao, Xiangyuan Peng et al. • Geophysical Research Letters
(2026)
Abstract Rock elasticity varies with both humidity and water saturation, yet their combined effects remain poorly understood, although in nature vapor adsorption and liquid infiltration occur simultaneously. Here, we present experimental da...
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Open Access (DOAJ)
DOI: 10.1029/2025GL120445
Chengliang Zhang, Guanlei Gao, Chunzhao Zhao, Lei Li et al. • Machines
(2022)
This paper presents a path tracking algorithm based on a fuzzy control pure tracking model for autonomous navigation of 4WS agricultural machines. The aim of this research is to implement path tracking for unmanned 4WS agricultural machiner...
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Open Access (DOAJ)
DOI: 10.3390/machines10070597
Younsang Cho, Jaeoh Kim, Donghyeon Yu • IEEE Access
(2022)
A general-purpose GPU (GPGPU) is employed in a variety of domains, including accelerating the spread of deep natural network models; however, further research into its effective implementation is needed. When using the compute unified devic...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3175987
Muhammad Abdul Basit, Wenxi Tian, Ronghua Chen, Romana Basit et al. • Nuclear Engineering and Technology
(2021)
Study of single bubble behavior under rolling motions can prove useful for fundamental understanding of flow field inside the modern small modular nuclear reactors. The objective of the present study is to simulate the influence of rolling ...
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Open Access (DOAJ)
DOI: 10.1016/j.net.2020.12.013
Prasanth Tej Kumar Jagannadham, Thirugnanavel Anbalagan, Sonia Balyan, Viswanathan Satheesh et al. • Data in Brief
(2024)
Mandarin orange (Citrus reticulata Blanco) is the most common citrus fruit, covering nearly 42 % of the total citrus cultivation area in India. The main varieties of mandarin oranges cultivated in India include Nagpur Mandarin, Khasi Mandar...
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Open Access (DOAJ)
DOI: 10.1016/j.dib.2024.110896
Tomy Muringayil Joseph, Debarshi Kar Mahapatra, Amin Esmaeili, Łukasz Piszczyk et al. • Nanomaterials
(2023)
The human nature of curiosity, wonder, and ingenuity date back to the age of humankind. In parallel with our history of civilization, interest in scientific approaches to unravel mechanisms underlying natural phenomena has been developing. ...
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DOI: https://doi.org/10.3390/nano13030574
PMC: 9920911
Sascha Wilkens, Joe Moorhouse • Quantum Information Processing
(2023)
Abstract Quantum computing allows a significant speed-up over traditional CPU- and GPU-based algorithms when applied to particular mathematical challenges such as optimisation and simulation. Despite promising advances and extensive researc...
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DOI: https://doi.org/10.1007/s11128-022-03777-2
Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari
(2025)
Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...
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Open Access (DOAJ)
DOI: https://doi.org/10.59231/SARI7840
Haruto Fujii, Yasuaki Ito, Nobuya Yokogawa, Kanta Suzuki et al. • Applied Sciences
(2025)
Quantum chemistry offers the formal machinery to derive molecular and physical properties arising from (sub)atomic interactions. However, as molecules of practical interest are largely polyatomic, contemporary approximation schemes such as ...
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Open Access (DOAJ)
DOI: 10.3390/app15052572
Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University)
(2016)
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During t...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1602.02830
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University)
(2016)
We introduce a method to train Quantized Neural Networks (QNNs) --- neural networks with extremely low precision (e.g., 1-bit) weights and activations, at run-time. At train-time the quantized weights and activations are used for computing ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1609.07061
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Cohen, Jonathan et al. • arXiv (Cornell University)
(2014)
We present a library of efficient implementations of deep learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult and time-consuming. As parallel architectures evolve, kernels mu...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1410.0759
Yogita K. Dubey, Milind M. Mushrif • Advances in Fuzzy Systems
(2016)
The study of brain disorders requires accurate tissue segmentation of magnetic resonance (MR) brain images which is very important for detecting tumors, edema, and necrotic tissues. Segmentation of brain images, especially into three main t...
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Open Access (DOAJ)
DOI: 10.1155/2016/3406406
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting
(2025)
Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...
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Open Access (DOAJ)
DOI: 10.3390/forecast7020031
Kasande M, Natwijuka A, Katushabe E Snr, Otwine Tweheyo A Snr • HIV/AIDS: Research and Palliative Care
(2022)
Meble Kasande, Andrew Natwijuka, Eve Katushabe Snr, Anne Tweheyo Otwine Snr Faculty of Nursing and Health Sciences, Bishop Stuart University, Mbarara, UgandaCorrespondence: Meble Kasande, Bishop Stuart University, Faculty of Nursing and Hea...
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Open Access (DOAJ)
Milind Umekar, Anis Ahmad Chaudhary, Monali Manghani, Supriya Shidhaye et al. • Pharmaceutics
(2025)
Chronic wounds, including diabetic foot ulcers and pressure sores, are becoming more prevalent due to aging populations and increased metabolic problems. These wounds often persist due to impaired healing, chronic inflammation, oxidative st...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/pharmaceutics17070805
Ching-Hsun Tseng, Shin-Jye Lee, Jianan Feng, Shengzhong Mao et al. • Entropy
(2022)
With the successful development in computer vision, building a deep convolutional neural network (CNNs) has been mainstream, considering the character of shared parameters in a convolutional layer. Stacking convolutional layers into a deep ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e24091243