All-printed chip-less wearable neuromorphic system for multimodal physicochemical health monitoring by Yongsuk Choi, Peng Jin, Sanghyun Lee, Yu Song, Roland Yingjie Tay, Gwangmook Kim, Jounghyun Yoo, Hong Han, Jeonghee Yeom, Jeong Ho Cho, Dong-Hwan Kim, Wei Gao

“…By leveraging scalable printing technology, we fabricated artificial synapses that function as both sensors and analog processing units, integrating them alongside printed synaptic nodes into a compact wearable system embedded with a medical diagnostic algorithm for multimodal data processing and decision making. …”
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Preventing Overturning of Mobile Cranes Using an Electrical Resistivity Measurement System by Hongseok Jang, Yeonho Lee, Hongseok Lee, Youngtaek Cha, Sungjoon Choi, Jongkyu Park

“…Furthermore, it uses a ground stability determination algorithm that qualitatively assesses soft ground conditions, which are the primary cause of ground subsidence. …”
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Real-time lithology identification while drilling based on drilling parameters analysis with machine learning by Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Chunmiao Liang

“…Furthermore, an ensemble learning lithology identification model based on soft voting was constructed, integrating SVM, decision tree, KNN, and neural network classifiers. …”
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Organisation of physical education at the university based on students’ constitutional types and health groups by M. M. Kolokoltsev, S. S. Iermakov, N. V. Tretyakova

“…Methods of the statistical analysis with the application of StatSoft Statistica 6.1 and Microsoft Excel programmes were used to process the obtained results in the process of diagnostics. …”
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Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model by Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang

“…The extracted scattering coefficient matrix is input into the LSTM for iterative training. Finally, the SoftMax layer’s probability classification method is applied to the identification of particle attributes. …”
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Peer-to-peer energy trading with energy trading consistency in interconnected multi-energy microgrids: A multi-agent deep reinforcement learning approach by Yang Cui, Yang Xu, Yijian Wang, Yuting Zhao, Han Zhu, Dingran Cheng

“…The complex decision-making problem with significantly large high-dimensional data is formulated as a partially observable Markov decision process and solved using the proposed multi-agent deep reinforcement learning approach combining the centralized training decentralized execution framework and soft actor-critic algorithm. Finally, the effectiveness of the proposed method was verified through a case simulation. …”
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Computed tomography in terms of thoracic outlet syndrome diagnosis by L. A. Titova, A. A. Gridsay, E. M. Tolstykh, S. I. Marks, N. V. Ischenko, M. V. Anisimov, A. Yu. Goncharova, I. A. Baranov, L. A. Haetskaya

“…Thoracic outlet syndrome (TOS) comprises a group of clinical syndromes caused by congenital or acquired compression of the brachial plexus or subclavian vessels during their passage through the superior thoracic aperture.Clinical manifestations vary by TOS type: neurogenic form (arm pain/paresthesia, hand muscle weakness, thenar atrophy), venous form (limb edema/cyanosis, visible collaterals, subclavian vein thrombosis), arterial form (arm ischemia, distal emboli, subclavian artery aneurysms).The modern diagnostic algorithm includes physical examination (Edson test, Wright test, hyperabduction test) and instrumental diagnostic methods. …”
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A novel and sturdy MPPT architecture for grid-tied EV charging stations using Ali Baba and forty thieves optimization by Debabrata Mazumdar, Hassan Abdurrahman Shuaibu, Chiranjit Sain, Taha Selim Ustun

“…The power output of the proposed approach is compared with the two well-known soft computing based MPPT approaches, i.e., Cuckoo Search Algorithm and Grey Wolf Optimization. …”
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Smart Prussian Blue Analog Decorated with Zinc Oxide Nanohybrid: Fluorescent Sensing and Sustainability of Sunset Yellow in Food and Environment by Hany A. Batakoushy, Amr K. A. Bass, Hassanien Gomaa, Sami El Deeb, Adel Ehab Ibrahim

“…Real sample analysis in the food industry, including samples from real food, soft drinks, and sun cream, was made possible by the detection of tiny amounts of SY. …”
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Optimized CNN-Bi-LSTM–Based BCI System for Imagined Speech Recognition Using FOA-DWT by Meenakshi Bisla, Radhey Shyam Anand

“…EEG signal is enhanced using firefly optimization algorithm (FOA)–based optimized soft thresholding of high-frequency detail components obtained by DWT decomposition. …”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
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Enhanced Superpixel-Guided ResNet Framework with Optimized Deep-Weighted Averaging-Based Feature Fusion for Lung Cancer Detection in Histopathological Images by Karthikeyan Shanmugam, Harikumar Rajaguru

“…<b>Methods:</b> The study begins with image preprocessing using an adaptive fuzzy filter, followed by segmentation with a modified simple linear iterative clustering (SLIC) algorithm. The segmented images are input into deep learning architectures, specifically ResNet-50 (RN-50), ResNet-101 (RN-101), and ResNet-152 (RN-152), for feature extraction. …”
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Estimating Complex Signals With a Fuzzy-Enhanced Kalman Filter: A Note on &#x201C;the Output Regulation and the Kalman Filter as the Signal Generator&#x201D; by Jesus Alberto Meda-Campana, Juan Carlos Garcia-Hernandez, Rodolfo Daniel Velazquez-Sanchez, Luis Alberto Paramo-Carranza, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera

“…Furthermore, the result shows that incorporating simple fuzzy logic concepts may substantially enhance the performance of some established algorithms.…”
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Meat analogues: The relationship between mechanical anisotropy, macrostructure, and microstructure by Miek Schlangen, Iris van der Doef, Atze Jan van der Goot, Mathias P. Clausen, Thomas E. Kodger

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Sequential biases on subjective judgments: Evidence from face attractiveness and ringtone agreeableness judgment. by Jianrui Huang, Xianyou He, Xiaojin Ma, Yian Ren, Tingting Zhao, Xin Zeng, Han Li, Yiheng Chen

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A robust approach to satellite image encryption using chaotic map and circulant matrices by Shamsa Kanwal, Saba Inam, Asghar Ali Shah, Halima Iqbal, Anas Bilal, Muhammad Usman Hashmi, Raheem Sarwar

“…This study presents an improved satellite image encryption technique that combines the cryptographic strength of the circulant matrix in the Hill cipher with the dynamic characteristics of the hyperbolic tangent tent map, further enhanced by the Kronecker XOR product. The algorithm initiates with computing alterations by a shift amount. …”
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A Confidential Transmission Method for High-Speed Power Line Carrier Communications Based on Generalized Two-Dimensional Polynomial Chaotic Mapping by Zihan Nie, Zhitao Guo, Jinli Yuan

“…A high-speed power line carrier communication network is established using a power line carrier routing algorithm based on the minimal connected dominating set. …”
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Technical study on the efficiency and models of weed control methods using unmanned ground vehicles: A review by Evans K. Wiafe, Kelvin Betitame, Billy G. Ram, Xin Sun

“…The effectiveness of UGVs for weed control is hinged on the accuracy of their navigation and weed detection technologies, which are influenced heavily by environmental conditions, including lighting, weather, uneven terrain, and weed and crop density. Also, there is a shift from using traditional machine learning (ML) algorithms to deep learning neural networks, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), for weed detection algorithm development due to their potential to work in complex environments. …”
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An LDPC Encoder Architecture With Up to 47.5 Gbps Throughput for DVB-S2/S2X Standards by Decai Liu, Yanfei Luo, Yunfeng Li, Zhijie Wang, Zhengxuan Li, Qianwu Zhang, Junjie Zhang, Yingchun Li

“…However, due to the large block size, most of the architectures proposed so far use Random Access Memory (RAM) to store and update the encoding results, and the delay caused by address-controlled read and write operations and barrel shift during computation inevitably limits the upper bound of encoder throughput. …”
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Re-conceptualizing trafficking-in-persons victimization using latent class analysis: Results from a community study in Cape Town, South Africa by Annah K. Bender, Erica L. Koegler, Edna G. Rich, Nicolette V. Roman, Rumi Kato Price

“…We conclude by calling for a shift from a binary prosecutorial definition to a dimensional approach of identifying trafficking, guided by the understanding that such risks exist on a spectrum influenced by one's experience of human trafficking exploitation, and behavioral and social environment.…”
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