An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models by J. D. Dorathi Jayaseeli, J Briskilal, C. Fancy, V. Vaitheeshwaran, R. S. M. Lakshmi Patibandla, Khasim Syed, Anil Kumar Swain

“…For the classification process, the ensemble of DL models, namely the long short-term memory (LSTM) technique, extreme learning machine (ELM) model, and stacked sparse denoising autoencoder (SSDA) method, is employed. …”
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Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

“…The backbone of the proposed model consists of CNN and Transformer in tandem, taking advantage of CNN’s strengths in local feature extraction and fully utilizing Transformer’s ability to process the global information of the image, thus deepening the model’s understanding of the image’s semantic relationship. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…ML is usually reflected as a sub-branch of AI, which is closely linked to data mining, computational statistics, and data science (DS) and mainly concentrates on generating computers to acquire data. …”
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DiffuseGaitNet: Improving Parkinson’s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…To address the needs of reservoir development with complex geological conditions in Shengli Oilfield， this paper systematically elaborates on the independent R&D process， core technologies， and application achievements of reservoir numerical simulation software. …”
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Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review by Muhammad Zubair, Helmi B. Md Rais, Fasee Ullah, Qasem Al-Tashi, Muhammad Faheem, Arfat Ahmad Khan

“…Computed Tomography (CT) is a non-invasive imaging modality used to detect abnormalities in the human body with high precision. …”
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TOPS-speed complex-valued convolutional accelerator for feature extraction and inference by Yunping Bai, Yifu Xu, Shifan Chen, Xiaotian Zhu, Shuai Wang, Sirui Huang, Yuhang Song, Yixuan Zheng, Zhihui Liu, Sim Tan, Roberto Morandotti, Sai T. Chu, Brent E. Little, David J. Moss, Xingyuan Xu, Kun Xu

“…Abstract Complex-valued neural networks process both amplitude and phase information, in contrast to conventional artificial neural networks, achieving additive capabilities in recognizing phase-sensitive data inherent in wave-related phenomena. …”
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Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT by Surya P, Arunachalaperumal C, Dhilipkumar S

“…We present a novel parallel and pipelined fast Fourier transform (FFT) architecture for high-speed and low-power applications, a critical component in wireless communications and digital signal processors. The new FFT model implements a data-inverted Vedic multiplier in the FFT architecture, which reduces data switching activity in the input patterns to minimize dynamic power consumption and computational delay. …”
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Insights into the Interconnected Dynamics of Groundwater Drought and InSAR-Derived Subsidence in the Marand Plain, Northwestern Iran by Saman Shahnazi, Kiyoumars Roushangar, Behshid Khodaei, Hossein Hashemi

“…For this purpose, the open-source package LiCSBAS, integrated with the automated Sentinel-1 InSAR processor (COMET-LiCSAR), was utilized to assess land subsidence. …”
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Design of Hybrid MPC-PID Controller Based on Fractional Order Model of AMR by Orkan Murat Celik, Furkan Nur Deniz, Murat Koseoglu

“…After verifying the obtained model, a model reduction technique is applied to simplify the obtained transfer function to reduce the computational burden on the processor of AMR. Then, based on the simplified transfer function a hybrid MPC-PID controller is designed and implemented on Turtlebot3 Burger (TB3) AMR to improve the robot’s performance. …”
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Brain Activation Differences of Six Basic Emotions Between 2D Screen and Virtual Reality Modalities by Jialan Xie, Ping Lan, Shiyuan Wang, Yutong Luo, Guangyuan Liu

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Concepts and Application of DNA Origami and DNA Self-Assembly: A Systematic Review by Wei Liu, Huaichuan Duan, Derong Zhang, Xun Zhang, Qing Luo, Tao Xie, Hailian Yan, Lianxin Peng, Yichen Hu, Li Liang, Gang Zhao, Zhenjian Xie, Jianping Hu

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Implemetasi Komputasi Akar Kuadrat Resolusi Tinggi pada Field Programmable Gate Array (FPGA) by Muhammad Irfan, Hendra Setiawan

“…The system is implemented using 32-bit input and 16-bit output. The calculation process involves a Finite State machine (FSM) to minimize computation resources. …”
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Advanced Calculation of 96Y Decay Energy Spectra by WANG Xianghan1, HUANG Xiaolong1, YANG Dong2

“…This correction mechanism ensures that the computed energy spectrum not only adheres closely to the experiment data but also reflects the intricacies of the underlying decay processes. …”

DIGITAL ECONOMY AND RECRUITMENT POTENTIAL: STRATEGICAL INTERCONNECTION AND PROSPECTS by G. Yu. Peshkova, А. Yu. Samarina

“…The originality of digital economy is in its optimising effect on production and consumption possible because of operativeness and consolidation of information and computing systems. There has appeared an opportunity to manage socio-economic processes systematically. …”
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Enhancing Automatic Classification of Hepatocellular Carcinoma Images through Image Masking, Tissue Changes, and Trabecular Features by Maulana Abdul Aziz, Hiroshi Kanazawa, Yuri Murakami, Fumikazu Kimura, Masahiro Yamaguchi, Tomoharu Kiyuna, Yoshiko Yamashita, Akira Saito, Masahiro Ishikawa, Naoki Kobayashi, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

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A Survey on Sensor-Cloud: Architecture, Applications, and Approaches by Atif Alamri, Wasai Shadab Ansari, Mohammad Mehedi Hassan, M. Shamim Hossain, Abdulhameed Alelaiwi, M. Anwar Hossain

“…There is a need for a powerful and scalable high-performance computing and massive storage infrastructure for real-time processing and storing of the WSN data as well as analysis (online and offline) of the processed information under context using inherently complex models to extract events of interest. …”
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Agricultural Autonomous Robotic Platform Motion Control by D. O. Khort, A. I. Kutyrev, I. G. Smirnov, G. V. Moiseev, V. I. Soloviev

“…The method used allows implementing a program for the robotic platform automatic movement around a typical orchard using a minimum set of sensors, significantly reducing the load on the onboard computer processor and memory. Software, developed in the Python programming language, enables plotting the robotic platform route, displaying the movement trajectory, and indicating the positioning accuracy at each point in relation to the trees in the garden plantation rows, the movement speed and the wheel rotation angle. …”
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A Modular Step-Up DC/DC Converter for Electric Vehicles by Ahmed Darwish

“…The feasibility of the proposed converter is demonstrated through computer simulations conducted using MATLAB/SIMULINK^® R2024a software where a DC link of 400 V is created from 50 V input sources. …”
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An Efficient Multi‐Core DSP Power Management Controller by Jian Huang, Huili Wang, Guohui Gong, Lei Wang, Xiaowen Chen

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