Learning Regionalization Using Accurate Spatial Cost Gradients Within a Differentiable High‐Resolution Hydrological Model: Application to the French Mediterranean Region by Ngo Nghi Truyen Huynh, Pierre‐André Garambois, François Colleoni, Benjamin Renard, Hélène Roux, Julie Demargne, Maxime Jay‐Allemand, Pierre Javelle

“…Abstract Estimating spatially distributed hydrological parameters in ungauged catchments poses a challenging regionalization problem and requires imposing spatial constraints given the sparsity of discharge data. …”
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Unsupervised delineation of chicken eggs based on the universal avian egg model by Paramate Horkaew, Sajeera Kupittayanant, Pakanit Kupittayanant

“…Thus far, existing methods are impeded by the need for problem specific provisions, whose inherent setting is counterintuitive, or those involving overly complex artificial neural networks. …”
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KERF: a knowledge-enhanced relearning framework for tailings pond detection from high-resolution remote sensing images by Bingjie Liu, Wei Wu, Hao Wu, Ailong Ma, Shaohua Hu, Nianchun Du, Xuan Cui, Junyang Xie

“…An augmented feature pyramid network and multi-stage detectors are introduced to generate proposals with feature enhancement and location optimization. …”
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AIHEMAF–P: An Innovative Healthcare Model for Atrial Fibrillation Patients by Raffaele La Regina, Pasquale Innelli, Fulvio Glisenti, Gianbattista Bollani, Eugenio Leopardi, Gian Franco Gensini, Savina Nodari, Giuseppe La Regina, Micaela La Regina, Francesco Gabbrielli

“…The study comprised 47 patients (average age 71.22 years) with nonvalvular atrial fibrillation (68% being paroxysmal) on NOACs. …”
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Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation by Nasreddine Bouchikhi, Fethi Boussadia, Riyadh Bouddou, Ayodeji Olalekan Salau, Saad Mekhilef, Chaima Gouder, Sarra Adiche, Abdallah Belabbes

“…The MGWO expands on the GWO with adaptive mechanisms that prevents it from becoming trapped in the local minima, yielding faster convergence time, better accuracy of solution, and increased immunity and robustness to solving optimization problems that are complex and multimodal. The effectiveness of the proposed approach is evaluated by simulations performed on the IEEE 33-bus test system and a large scale 114-bus distribution network to determine its reliability for different network sizes. …”
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TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection by Rijun Wang, Rijun Wang, Yesheng Chen, Fulong Liang, Xiangwei Mou, Xiangwei Mou, Guanghao Zhang, Hao Jin

“…MethodsThe multi-scale tomato leaf disease detection model Tomato Focus-Diffusion Network (TomaFDNet) was proposed to solve the above problems. …”
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Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence by Wen Chen, Sibin Liu, Yuxiao Yang, Wenjing Hu, Jinming Yu

“…To tackle these issues, we propose a deep reinforcement learning-based approach for task offloading and resource allocation, aiming to balance the load on edge nodes while reducing the long-term average cost. Specifically, we decompose the optimization problem into two subproblems, task offloading and resource allocation. …”
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Mass gatherings in Italy: a study from the 2015 Milan Expo by Pietro Marino, Enzo Albergoni, Aida Andreassi, Gianluca Chiodini, Lucia Colombi, Cristina Corbetta, Gabriella Nucera, Marco Salmoiraghi, Alberto Zoli

“…The objective of the plan was to reduce the impact of the event by adopting the model of First Aid Points (advanced medical posts) deployed in the event site acting as ‘first health filters’ for the hospital network in Milan. Results. Our data indicate that 13,579 visitors were rescued in the ‘Red Area’ from 1 May to 31 October (with an average of 73 cases per day); 9,501 of them needed initial treatment or observation time at the First Aid Points, 1,289 of them were hospitalised (1% Red code, 29% Yellow code, 70% Green code); 65% of patients (57% female, with a mean age of 37 years old) had medical problems. …”
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Optimizing Traffic Light Control using Enhanced DQN: Minimizing Waiting Time for Regular and Emergency Vehicles by Bouzi Wissam, Bentaieb Samia, Ouamri Abdelaziz

“…An efficient traffic management system is essential to minimize traffic problems and ensure the rapid circulation of emergency vehicles. …”
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Waiting Time Control Chart for M/G/1 Retrial Queue by Yih-Bey Lin, Tzu-Hsin Liu, Yu-Cheng Tsai, Fu-Min Chang

“…Retrial queues are used extensively to model many practical problems in service systems, call centers, data centers, and computer network systems. …”
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Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…First, a method integrating multi-scale enhancement and contrast-limited adaptive histogram equalization is proposed to effectively solve the problems of noise, low brightness,and insufficient information in the DR images of aluminum and magnesium alloy castings. …”
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Penerapan Mekanisme Continuous Deployment dalam Pengembangan dan Pembaruan Perangkat Lunak Sistem Benam Berbasis Internet of Things by Yohanna Fransiska Aladina, Adhitya Bhawiyuga, Reza Andria Siregar, Primantara Hari Trisnawan

“…Based on the results of these tests, this solution can answer the problem of updating IoT device software which is still done manually. …”
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Implementation of vertical axis wind turbine on renewable energy based self-sustaining public street lighting system by Dewi Indriati Hadi Putri, Muhamad Praja Dewanata, Arditya Baskara Mahbubi, Liptia Venica, Muhammad Rizalul Wahid

“…Kutamanah village, located in Sukasari Sub-district, Purwakarta District, faces limited electricity networks in strategic locations such as connecting roads between settlements, which impacts residents' safety and activities, especially at night. …”
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The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms by Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto

“…In this work, we evaluate the impact of different neural time-series predictors based on Gaussian processes, recurrent neural networks, and transformer architectures in forecasting the number of function invocations. …”
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Challenges and opportunities for ports in achieving net-zero emissions in maritime transport by Pramithodha Halpe, Michelle Adams, Tony R. Walker

“…Shipping ports are vital nodes in maritime transport networks and play crucial roles in the global economy and international trade. …”
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An infrared dataset for partially occluded person detection in complex environment for search and rescue by Zhuoyuan Song, Yili Yan, Yixin Cao, Shengzhi Jin, Fugui Qi, Zhao Li, Tao Lei, Lei Chen, Yu Jing, Juanjuan Xia, Xiangyang Liang, Guohua Lu

“…After training with popular object detection networks, our dataset performed stable average precision for partially occluded person detection and short response time. …”
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Research on Mobile Advertising Users' Propagation Ability Evaluation based on the Neutrosophic Cubic Number Multiple-Attribute Decision-Making by Minming Weng, Ying Long

“…The primary objectives of this research are as follows: (1) to propose the NCN-MOORA approach for solving MADM problems within the NCS environment; (2) to determine attribute weight information using average method, ensuring an unbiased weighting process; (3) to design and apply the NCN-MOORA approach for evaluating mobile advertising users’ propagation ability and compare its performance with existing approaches; and (4) to validate the effectiveness of the proposed approach through comparative analysis. …”
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Research and application of pressure relief technology for fracturing thick hard roof in super-high mining face by Yajun LEI, Yanjun FENG, Hongpu KANG, Futang ZHAO, Xiaoguang SHANG, Rui WANG, Peng WANG, Zhen ZHANG, Jianchao REN, Kaikai ZHAO, Yangfa ZHENG, Xiaogang LIU

“…Compared with Zhiluo formation, Yan’an Formation has a higher content of brittle minerals and is easy to form complex fracture network. The average fracture radius increases from 21.9 m to 32.5 m with the displacement increasing from 1 m3/min to 5 m3/min, an increase of about 48.40%. …”
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Research on dimension measurement algorithm for parcel boxes in high-speed sorting system by Ning Dai, Jingchao Chen, Xudong Hu, Yanhong Yuan

“…Abstract Traditional manual sorting has problems such as low efficiency, low automation level and increased costs, which are difficult to meet the sorting challenges brought by the rapid development of logistics industry. …”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

“…For a long time, the traditional motor manufacturing industry relies on the artificial hearing method to identify whether there is abnormal noise in the motor, thus leading to low efficiency and poor accuracy consistency. To solve these problems, a new prediction method based on the algorithm of harmonic percussion sound separation (HPSS) and continuous interphase sampling (CIS) of cochlear implants and the CNN-CBAM (Convolutional neural network based on Convolutional Block Attention Module) model, is proposed in this paper. …”
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