Hybrid convolutional neural network and bi-LSTM model with EfficientNet-B0 for high-accuracy breast cancer detection and classification by Umesh Kumar Lilhore, Yogesh Kumar Sharma, Brajesh Kumar Shukla, Muniraju Naidu Vadlamudi, Sarita Simaiya, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah

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LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion by Hang Yu, Bingzong Liu, Lei Wang, Teng Li

“…However, large-scale deep learning algorithm training requires huge computing power support and large equipment to process, which is not suitable for real-time detection on edge platforms. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…Second, forecasting typically requires large amounts of data for machine learning and significant computing resources that are not available to the majority of companies. …”
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Self-Powered Photodetectors with Ultra-Broad Spectral Response and Thermal Stability for Broadband, Energy Efficient Wearable Sensing and Optoelectronics by Peter X. Feng, Elluz Pacheco Cabrera, Jin Chu, Badi Zhou, Soraya Y. Flores, Xiaoyan Peng, Yiming Li, Liz M. Diaz-Vazquez, Andrew F. Zhou

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Molecular Evolution of Rice Blast Resistance Gene bsr-d1 by Wei Li, Mengchen Zhang, Yaolong Yang, Lin Weng, Peisong Hu, Xinghua Wei

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GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding by Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Mona Mohammed Alnahari, Reemiah Muneer Alotaibi

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A Genetic-Algorithms Matrix-Factorization-Based Recommender System Model Using Tags by Manal Almaayah, Yousef Kilani, Ayoub Alsarhan, Mohammad Aljaidi, Mohammed Alshammari, Aadil Alshammari

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Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage by Yongqiang Zhang, Haijie Pang, Jinlong Ma, Guilei Ma, Xiaoming Zhang, Menghua Man

“…Background: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing power. …”
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A Hybrid CNN Framework DLI-Net for Acne Detection with XAI by Shaila Sharmin, Fahmid Al Farid, Md. Jihad, Shakila Rahman, Jia Uddin, Rayhan Kabir Rafi, Radia Hossan, Hezerul Abdul Karim

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Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation by Hanan Abdullah Mengash, Hany Mahgoub, Asma Alshuhail, Abdulbasit A. Darem, Jihen Majdoubi, Ayman Yafoz, Raed Alsini, Omar Alghushairy

“…With the advent of state-of-the-art computer and digital technology, modern civilisation has been immensely facilitated and optimised. …”
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Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

“…Special deep learning algorithms went through a process of optimization before researchers improved their ability to detect and place objects. …”
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Probabilistic Approach to Assessing Photolithography Quality in the Production of Printed Circuit Boards by M. A. Korobkov, V. S. Barabanov

“…For the investigated process, the dependencies of manufacturing parameters on the designed conductor width were determined and the corresponding adjustments of the process were introduced. …”
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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…Wearable sensors (WS) play a vital role in health assistance to improve the patient monitoring process. However, the existing data collection process faces difficulties in error corrections, rehabilitation, and training validations. …”
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Region search based on hybrid convolutional neural network in optical remote sensing images by Shoulin Yin, Ye Zhang, Shahid Karim

“…This process avoids exhaustive search for input images. …”
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Survey of deployment locations and underlying hardware architectures for contemporary deep neural networks by Miloš Kotlar, Dragan Bojić, Marija Punt, Veljko Milutinović

“…Covered architectural approaches include multicore processors (central processing unit), manycore processors (graphics processing unit), field programmable gate arrays, and application-specific integrated circuits. …”
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Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review by Taofik O. Tafa, Siti Zaiton Mohd Hashim, Mohd Shahizan Othman, Hitham Alhussian, Maged Nasser, Said Jadid Abdulkadir, Sharin Hazlin Huspi, Sarafa O. Adeyemo, Yunusa Adamu Bena

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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology by Xu Zhaosheng, Liao Zhongming, Xiao Xiaoyong, Ahmad Suzana, Mat Diah Norizan, Ismail Azlan

“…This study introduces computer vision-based approaches, including colour and texture recognition, object detection, and scene context understanding using Deep Neural Networks (DNN). …”
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An information theoretic limit to data amplification by S J Watts, L Crow

“…This is not the only way to amplify data so this process will be referred to as data amplification which is studied using information theoretic concepts. …”
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DEVELOPMENT OF THE LOAD MEASURING DEVICES TO DETERMINE THE RESIDUAL DEFORMATION OF THE ELASTIC SENSING ELEMENT by I. V. Antonets, V. A. Borsoev, R. A. Borisov, S. M. Stepanov

“…The main focus in the design of weighing and batching devices is to create a gravimetric technique, capable of providing not only mass measurement – weighing with the required accuracy and speed, but also automatic control of technological processes and their control and regulation. In this case, the opportunity of two-way communication with a computer when designing the load measuring devices is realized, allowing remote monitoring and solution of logical problems associated with the management process. …”
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The glass transition temperature investigation of polymers by molecular dynamic simulations by П. Саидахметов, И. Пиянзина, Г. Байман, О. Недопекин, Д. Таюрский

“… In this paper, the process of glass transition is studied, the theory of which is not fully developed. …”
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