Hybrid Window Decoding for Joint Source Channel Anytime Coding System by Li Deng, Zhiping Shi, Yixin Wang, Xiaoxi Yu, Yong Liang Guan, Zhiping Xu

“…Unlike the traditional JEWD technique and its variants, the proposed JHWD algorithm utilizes a hybrid window structure. It achieves this by implementing adaptive local expanding window decoding in the sliding window region, guided by syndrome-check-based detection. …”
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ON FPGA BASED ACCELERATION OF IMAGE PROCESSING IN MOBILE ROBOTICS by Petr Cížek, Jan Faigl

“…The results indicate that even a computationally efficient FAST algorithm can benefit from a parallel (low–cost) FPGA–based implementation that has a competitive processing time but more importantly it is a more power efficient.…”
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ON AUTOMATED QUALITY CONTROL OF GEOPHYSICAL WELL LOGGING DATA by Roman Victorovich Pelmegov, Artem Georgiyevich Kudelin

“…A brief analysis of the unreliability symptoms of record fragments is provided. An algorithm using iterative modeling techniques of incomplete data with low-dimensional manifolds for solving the problem of assessing the quality of the well logging data is proposed. …”
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A mutual mapping model of cross-sections between the axial and normal planes of ball screws based on the forming of helical ball track by Chaoqun Qian, Yi Ou, Hutian Feng, Jian Wu

“…Empirical evaluations demonstrate the efficiency and precision of our algorithm. In 3D modeling tests, it processes 10,000 points in merely 5 ms, with an impressively low maximum relative error of 0.001%. …”
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A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

“…This work provides a high-precision, low-complexity solution for rapid quality detection of pine nuts, with broad implications for agricultural product inspection and food safety.…”
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Experimental DCO-OFDM Optical Camera Communication Systems With a Commercial Smartphone Camera by Jenn-Kaie Lain, Zheng-Dao Yang, Ting-Wei Xu

“…Two DCO-OFDM OCC signal detection algorithms, namely the parabolic column vector selection (P-CVS) algorithm and the decomposition of extremely low frequency component (D-ELFC) algorithm, were proposed, along with a frequency-domain downsampling scheme, to eliminate the influence from both the blooming effect and shot noise. …”
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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…The results show that the Manhattan algorithm performs better in medical contexts, particularly for detecting positive cases, with a recall of 0.57 and an F1-score of 0.695, although it has a slightly lower precision of 0.88. …”
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MM-LoRa-Mod: A non-coherent LoRa modulation scheme for underwater acoustic communications by YU Xiao, XU Weikai, SUN Haixin, LIU Qi

“…Additionally, for underwater acoustic communication scenarios, a low-complexity non-coherent detection algorithm for MM-LoRa-Mod was introduced. …”
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Model-Based RL Decision-Making for UAVs Operating in GNSS-Denied, Degraded Visibility Conditions with Limited Sensor Capabilities by Sebastien Boiteau, Fernando Vanegas, Julian Galvez-Serna, Felipe Gonzalez

“…Designed for search and rescue operations, the system enables UAVs to navigate cluttered indoor environments, detect targets, and avoid obstacles under low-visibility conditions. …”
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AviaryMOT: Aviary Attention-based adaptive multi-object tracking of cranes and storks in wetlands by Chang Liu, Xuran Ma, Jiahong Zhou, Nini Sun, Hengming Liu

“…In the tracking stage, the BYTE data association method effectively utilizes similarities between low-score detection boxes and tracking trajectories, enabling the identification of true objects and filtering out background noise. …”
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Identification method of roof rock interface based on response characteristics of drilling parameters by LI Dianshang, LIU Cancan, WANG Chuanbing, REN Bo, REN Shuai, KANG Zhipeng

“…Then, the accuracy of rock interface identification was analyzed using parameters such as penetration rate, revolution per minute, sound pressure level, and torque using the application of the change point detection algorithm, the strucchange model in RStudio software, and the decision tree algorithm. …”
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Classification of Phishing Email Using Random Forest Machine Learning Technique by Andronicus A. Akinyelu, Aderemi O. Adewumi

“…From a dataset consisting of 2000 phishing and ham emails, a set of prominent phishing email features (identified from the literature) were extracted and used by the machine learning algorithm with a resulting classification accuracy of 99.7% and low false negative (FN) and false positive (FP) rates.…”
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Complete Coverage Path Planning for Wind Turbine Blade Wall-Climbing Robots Based on Bio-Inspired Neural Networks and Energy Consumption Model by Da Chen, Gang Yu, Shuchen Huang

“…To overcome the limitations of the existing inspection methods, which suffer from low detection precision and inefficiency, this paper proposes a novel complete coverage path planning (CCPP) algorithm for wall-climbing robots operating on wind turbine blades. …”
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Combining Kronecker-Basis-Representation Tensor Decomposition and Total Variational Constraint for Spectral Computed Tomography Reconstruction by Xuru Li, Kun Wang, Yan Chang, Yaqin Wu, Jing Liu

“…The proposed objective minimization model has been tackled using the split-Bregman algorithm. To evaluate the algorithm’s performance, both numerical simulations and realistic preclinical mouse studies were conducted. …”
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ESP32 and MAX30100 with Chebyshev Filter for Enhanced Heart and Oxygen Measurement by Magfirawaty Magfirawaty, Naval Indra Waskita, Hizkia Menahem Tandungan, Ridhan Hafizh, Syifa Jauza Suwaendi

“…This study proposes a remote health monitoring system based on a MAX30100 sensor for heart rate and oxygen saturation detection. The digital signal processing method uses the Chebyshev II filter on PPG to reduce noise, and the RSA algorithm is employed to enhance data security. …”
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A Three-dimensional Measurement Method for High-speed Train Body Based on Binocular Structural Light by ZHANG Haiyang, CHEN Wei, YE Songtao, CHEN Xinyu

“…Sanding quality is mainly judged by the measurement of surface smoothness. Currently, manual detection method is widely used, which has the disadvantages of low quality and low efficiency. …”
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PLL-VO： An Efficient and Robust Visual Odometry Integrating Point-Line Features and Neural Networks by L. Zhao, Y. Yang, D. Ma, X. Lin, W. Wang

“…To overcome the impact of complex lighting conditions, a self-supervised learning method for interest point detection and a line detection algorithm that combines line optical flow tracking with cross-constraints is presented. …”
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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

“…We achieved similar performance on classification compared to modern detection algorithms for ICAS in TOF-MRA (time-of-flight magnetic resonance angiography). …”
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Android malware family classification method based on the image of bytecodeConstruction of MDS matrices by Yi-min YANG, Tie-ming CHEN

“…An Android malware family classification method based on the image of bytecode was proposed accord-ing to the exponential growth of Android malware.A bytecode file of Android malware was converted to a 256-level grayscale image and texture features was extracted from the image by GIST.The random forest algorithm was ap-plied to classify the extracted features.The method by the experimental data of 14 kinds of common Android mal-ware families was verified and was compared against the DREBIN on the same dataset.The experimental results show that the proposed method has high detection precision and low false positive rate.…”
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Research on Intelligent Identification Technology for Bridge Cracks by Yumeng Su, Yunlong Song, Zhaomin Zhan, Zhuo Bi, Bang Zhou, Youling Yu, Yanting Song

“…In response to this, this paper proposes a bridge crack multi-task integration algorithm based on YOLOv8 object detection and DeepLabv3+ semantic segmentation. …”
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