A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

“…Despite its relatively recent introduction to transplantation, AI demonstrates potential in delivering cost and time-efficient outcomes. However, these tools cannot replace the role of healthcare professionals, with their widespread adoption demanding thorough clinical testing and oversight.…”
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Thermal and supply voltage analysis of optimized ring oscillator for pixel detector readout chip by Omar Istaitia, Ahmed Bassalat, Hadil Abualrob, Abdenour Lounis, Yahya Khwairah, Ali Slimani-Cherif, Maurice Cohen-Solal

“…The scheduled upgrade for ATLAS will be able to efficiently cope with the challenges caused by the high luminosity imposed by the HL-LHC. …”
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Surface roughness rolling-transfer regularity and prediction model of high strength steel strips by ZHANG Qing-dong, ZHANG Bo-yang, MA Lei, LI Rui, ZHANG Yong

“…These models can be used to predict the surface roughness of high strength steel strips during industrial production,help to order the cold rolling sequence and make a rolling plan more efficiently,and determine the roll replacing time.…”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…Spiking neural networks (SNNs) have significant potential for a power-efficient neuromorphic AI. However, their training is challenging since most of the learning principles known from artificial neural networks are hardly applicable. …”
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Shaping farmers' purchase intentions: the role of agricultural input subsidies and marketing strategies in Iran by Payam Panahian, Vali Borimnejad, Davood Samari, Niv Nozari

“…The study offers practical recommendations for policymakers: prioritize support for sustainable agricultural practices, invest in digital infrastructure to facilitate online transactions in rural areas, and redesign subsidy programs to target not only financial relief but also the promotion of modern, efficient farming methods. Furthermore, replacing conventional advertising with community-based outreach and tailored digital marketing can enhance market engagement. …”
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Design of a Transformer-GRU-Based Satellite Power System Status Detection Algorithm by Guoqi Xie, Xinhao Yang, Jiayu Zhao, Zhou Huang

“…A gated recurrent unit (GRU) network with cyclic structures is innovatively adopted to replace the conventional Transformer decoder, enabling efficient computation while maintaining temporal dependencies. …”
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Simulation Strategy for the Evaluation of Neutronic Properties of a Canadian SCWR Fuel Channel by G. Harrisson, G. Marleau

“…It is shown that this strategy is efficient because the axial coupling along the fuel channel is relatively weak. …”
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High Ratio of Manure Substitution Enhanced Soil Organic Carbon Storage via Increasing Particulate Organic Carbon and Nutrient Availability by Xiaoyu Hao, Xingzhu Ma, Lei Sun, Shuangquan Liu, Jinghong Ji, Baoku Zhou, Yue Zhao, Yu Zheng, Enjun Kuang, Yitian Liu, Shicheng Zhao

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Leveraging UAV spectral and thermal traits for the genetic improvement of resistance to Dothistroma needle blight in Pinus radiata D.Don by Joane S. Elleouet, Russell Main, Robin J. L. Hartley, Michael S. Watt

“…Using solely the most heritable NBHI achieved 0.71 breeding value accuracy and 0.79 absolute EBV correlation with severity scores, suggesting NBHIs can replace visual scoring with minimal precision loss. …”
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YOLOv8-DEE: a high-precision model for printed circuit board defect detection by Feifan Yi, Ahmad Sufril Azlan Mohamed, Mohd Halim Mohd Noor, Fakhrozi Che Ani, Zol Effendi Zolkefli

“…Lastly, the original complete intersection over union (CIoU) is replaced with efficient intersection over union (EIoU) to better highlight defect locations and accommodate varying sizes and aspect ratios, thereby enhancing detection accuracy. …”
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Lightweight DeepLabv3+ for Semantic Food Segmentation by Bastián Muñoz, Angela Martínez-Arroyo, Constanza Acevedo, Eduardo Aguilar

“…To achieve this, the state-of-the-art DeepLabv3+ model was adapted by optimizing the backbone with the lightweight network EfficientNet-B1, replacing the Atrous Spatial Pyramid Pooling (ASPP) in the neck with Cascade Waterfall ASPP (CWASPP), and refining the encoder output using the squeeze-and-excitation attention mechanism. …”
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Fused-MemBrain: a spiking processor combining CMOS and self-assembled memristive networks by Davide Cipollini, Hugh Greatorex, Michele Mastella, Elisabetta Chicca, Lambert Schomaker

“…In this way, a memristive self-assembled material can cheaply and efficiently replace the synaptic connections between CMOS neuron implementations in neuromorphic hardware, enhancing the capability of massively parallel computation. …”
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Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study by Tai-Han Lin, Ming-Jr Jian, Fujiko Mitsumoto-Kaseida, Norihito Kaku, Hsing-Yi Chung, Chih-Kai Chang, Cherng-Lih Perng, Yung-Chih Wang, Chih-Chien Wang, Yuan-Hao Chen, Katsunori Yanagihara, Hung-Sheng Shang

“…Automating hierarchical classifications effectively replaced labour-intensive PCR processes, reducing diagnostic complexity and resource use.Conclusions AI-CDSS is a scalable and efficient method for MRSA genotyping and PVL detection. …”
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Design of a parallel Helmholtz resonator structure as a hazardous greenhouse gases sensor using the transfer matrix method by Ilyas Antraoui, Ahlem Guesmi, Mohamed El Malki, Naoufel Ben Hamadi, Wesam Abd El-Fattah, Ali Khettabi, Zaky A. Zaky

“…These findings confirm the sensor’s potential for accurate, efficient gas detection relevant to respiratory health, offering significant advantages over conventional, more complex systems.…”
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Modelling of a hybrid differential-tricycle AGV by Roberto Sánchez, Jesús Enrique Sierra-García, Matilde Santos

“…In the industrial field, Automatic Guided Vehicles (AGV) are frequently used for the transport of goods, usually replacing manual means of transport or conveyor belts, to reduce operating costs and human errors in this way. …”
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Small but Mighty: A Lightweight Feature Enhancement Strategy for LiDAR Odometry in Challenging Environments by Jiaping Chen, Kebin Jia, Zhihao Wei

“…This paper proposes a computationally efficient enhancement strategy for LiDAR odometry, which improves system performance by reinforcing high-quality features throughout the optimization process. …”
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Multifunctional investigation of “drug–excipient unification” of natural polysaccharide nanocarriers: A new paradigm from drug delivery to adjuvant therapy by Huan Yang, TianBao Zhang, Xuan Ma, FengYu Wang, Rui Yu, JunZi Wu

“…The concept of “drug–excipient unification” involves replacing or reducing traditional excipients with components that possess pharmacological activity, thereby simultaneously enhancing therapeutic efficacy and reducing toxicity. …”
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Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Subsequently, the α-CIoU localization loss function replaces the traditional CIoU to enhance the model’s regression accuracy. …”
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LayerFold: A Python library to reduce the depth of neural networks by Giommaria Pilo, Nour Hezbri, André Pereira e Ferreira, Victor Quétu, Enzo Tartaglione

“…This work raises important warnings and opens the door to further advances in efficient model deployment.…”
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