Parallel Computing for Sorting Algorithms by Baghdad Science Journal

“…Because sorted data are easier to manipulate than randomly ordered data, many algorithms require sorted data. Sorting is of additional importance to parallel computing because of its close relation to the task of routing data among processes, which is an essential part of many parallel algorithms. …”
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YOLOv8n-SMMP: A Lightweight YOLO Forest Fire Detection Model by Nianzu Zhou, Demin Gao, Zhengli Zhu

“…Existing forest fire detection algorithms face limitations in capturing flame and smoke features in complex natural environments, coupled with high computational complexity and inadequate lightweight design for practical deployment. …”
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D-Band 4.6 km 2 × 2 MIMO Photonic-Assisted Terahertz Wireless Communication Utilizing Iterative Pruning Deep Neural Network-Based Nonlinear Equalization by Jingwen Lin, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Siqi Wang, Zhihang Ou, Yuan Ma, Wen Zhou, Jianjun Yu

“…The system employs advanced digital signal processing (DSP) methods, including down-conversion, resampling, matched filtering, and various equalization algorithms to combat signal distortions. We demonstrate the effectiveness of DNN and iterative pruning techniques in significantly reducing bit error rates (BERs) across a range of symbol rates (10 Gbaud to 30 Gbaud) and polarization states (vertical and horizontal). …”
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A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing by Walid Abdallah Shobaki, Mariofanna Milanova

“…Eye-gaze writing technology holds significant promise but faces several limitations. …”
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Research on the security audit model in intrusion prevention based on write-related support vector data description by LUO Jun, PAN Zhi-song, MIAO Zhi-min, HU Gu-yu

“…The security audit model based on write-related SVDD was designed to resolve the one-class problem.Once the classifier has been trained using the write-related subset,all activities deviated from the normal patterns are classified as potential intrusion.The proposed one-class classification algorithms can be implemented to build up an anomaly detection system by using only normal samples and the algorithms also makes the security audit system detect the new anomaly behaviors.In the experiments,the One-class classifier acquires nearly 100% detection rate and average zero false alarm rate for sequences of system calls based on a small training dataset.…”
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FPGA-oriented lightweight multi-modal free-space detection network by Feiyi Fang, Junzhu Mao, Wei Yu, Jianfeng Lu

“…With the development of multi-modal convolutional neural networks (CNNs) in recent years, the performance of driving scene semantic segmentation algorithms has been dramatically improved. Therefore most free-space detection algorithms are developed based on multiple sensors. …”
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Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge by Mohammed Alnemari, Nader Bagherzadeh

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<italic>WhiteDwarf</italic>: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration by Angel Lopez Garcia-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

“…Recent work on the Strong Lottery Ticket Hypothesis has upgraded the role of sparsity, commonly exploited by algorithms and sparse architectures as an advantageous by-product of training overparameterized models, to the main driver of neural training, opening new co-design opportunities for efficient neural execution. …”
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TARNet: An Efficient and Lightweight Trajectory-Based Air-Writing Recognition Model Using a CNN and LSTM Network by Md. Shahinur Alam, Ki-Chul Kwon, Shariar Md Imtiaz, Md Biddut Hossain, Bong-Gyun Kang, Nam Kim

“…This research proposes a unified, lightweight, and general-purpose deep learning algorithm for a trajectory-based air-writing recognition network (TARNet). …”
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An efficient method for mining frequent weighted subgraphs based on weighted edges by Lam B. Q. Nguyen, Nhan H. Vo, Nhung N. Chau, Bay Vo

“…In this paper, we introduce two new contributions to further improve the OWGraMi algorithm: calculating weights for subgraphs based on their edge weights, and using these edge weights to prune the search space to increase the performance of the new weighted graph mining algorithm, named WEGM (Weighted Edge GraMi). …”
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An effective and efficient hierarchical -means clustering algorithm by Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang

“…Experiments performed on real UCI and synthetic datasets verify the efficiency and effectiveness of our proposed algorithm.…”
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An improved BKW algorithm on the learning with rounding problem by Yu Wei, Lei Bi, Kunpeng Wang, Xianhui Lu

“…In this paper, we propose an improved LWR-solving BKW algorithm. For the reduction phase, we design a novel coding method with relaxed collision conditions and introduce a post-processing stage and for the solving phase, we switch to a more efficient Fast Fourier Transform (FFT) distinguisher with pruning. …”
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Improving Quantum Optimization Algorithms by Constraint Relaxation by Tomasz Pecyna, Rafał Różycki

“…Current quantum optimization algorithms, most of which are hybrid variational-Hamiltonian-based algorithms, struggle to present quantum devices due to noise and decoherence. …”
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Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…Furthermore, we optimize the model by removing redundant parameters using the DepGraph pruning algorithm, which facilitates its application on edge devices. …”
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ITD-YOLO: An Improved YOLO Model for Impurities in Premium Green Tea Detection by Zezhong Ding, Yanfang Li, Bin Hu, Zhiwei Chen, Houzhen Jia, Yali Shi, Xingmin Zhang, Xuesong Zhu, Wenjie Feng, Chunwang Dong

“…To solve this technical problem in the industry, this article proposes a lightweight algorithm for detecting and sorting impurities in premium green tea in order to improve sorting efficiency and reduce labor intensity. …”
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Information Hiding Based on Chan-Vese Algorithm by Samia Sh. Lazar, Nadia M. Mohammed

“…In addition the algorithm of this technique is implemented in Matlab.…”
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The Algorithm to Automatically Extract Body Sizes and Shapes by Mong Hien Thi Nguyen, Tuong Quan Vo, Mai Huong Bui, Van Anh Pham

“…In addition, the rotation matrix and the optimal function are used to write an algorithm to estimate the neck girth and inseam measurements. …”
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Algorithmic Literacy and the Role of Librarians in Its Education by Shahnaz Khademizadeh, Mohammad Amin Sekhavatmanesh

“…Objective: Considering the increasing spread of artificial intelligence and its algorithm-oriented nature and the increasing interaction of users with these algorithms in various platforms such as social networks, online stores, and search engines, the present study intends to examine the concept and necessity of algorithmic literacy and, in the following, the role of librarians who are actually specialists in information science in the education and development of this literacy. …”
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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Further optimization was achieved through model pruning, which contributed to additional lightweighting of the model. …”
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Magnetic Coil’s Performance Optimization with Nonsmooth Search Algorithms by Igor Reznichenko, Primož Podržaj, Aljoša Peperko

“…Numerical tests using non-gradient search algorithms show the difference in optimal designs provided by these methods. …”
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