Duck Egg Crack Detection Using an Adaptive CNN Ensemble with Multi-Light Channels and Image Processing by Vasutorn Chaowalittawin, Woranidtha Krungseanmuang, Posathip Sathaporn, Boonchana Purahong

“…We began by developing a portable crack detection system capable of controlling various light sources to determine the optimal lighting conditions for crack visibility. …”
Get full text

Assessment of air pollutants when burning alternative fuels by Olena Levytska, Artem Sikorsky

“…The aim of the work is to identify potential agricultural waste that can become energy sources, which will significantly reduce the cost of the operation of small and medium-sized boilers and provide cost savings for small and medium-sized businesses. …”
Get full text

Study of Renewable Potential of the Republic of Armenia for Implementation of Hybrid Autonomous Power Supply System Using Solar Photovoltaic Modules by N. R. Kostik, S. A. Tarasov, G. Ye. Ayvasyan

“…To determine the potential of meteorological and geographical features of the Republic of Armenia for the implementation of autonomous hybrid renewable energy sources systems (AHRESS) using solar photovoltaics (PV). …”
Get full text

Study of the energy flow and Global Warming Potential (GWP) of alfalfa and maize silage production with different water supply sources (a case study: Qazvin Plain) by Ehsan Khodarezaie, Korous Khoshbakht, Hadi Veisi, Mohammad Reza Nazari

“…This paper evaluates the energy flow and Global Warming Potential (GWP) of alfalfa and maize silage farms with two different water supply sources (well and canal) in Qazvin Plain.Material and methods: The data were collected through face-to-face interviews with farmers in the years 2018-2019. …”
Get full text

Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

“…The accurate monitoring and quantitative retrieval of soil moisture play a crucial role in optimizing agricultural water resource management. In recent years, the development of multi-source remote sensing technologies—such as high spatiotemporal resolution optical, radar, and thermal infrared sensors—has opened new avenues for efficient soil moisture retrieval. …”
Get full text

The effectiveness analysis of traditional and new landscape indexes in indicating flood risk of watersheds from the perspective of source-sink landscapes: A case study of Changsha,... by Lingxuan Zhang, Sheng Jiao, Jie Lu

“…This study identified effective traditional indexes and developed a new index based on flood risk formation mechanisms, advancing landscape pattern research in flood risk management from a source-sink perspective. The findings offer an effective ecological approach for stormwater management and provide valuable insights for optimizing landscape spatial patterns. …”
Get full text

Analysis and Optimization of Dysprosium-Doped Yellow Fiber Lasers for Ophthalmology Applications by Foroogh Khozeymeh, Federica Poli, Wahida Chowdhury, Annamaria Cucinotta

“…This light source is of significant interest for treating diabetic retinopathy, which can cause blindness. …”
Get full text

A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing by Tianyi Wang, Xiaolong Ke, Lei Huang, Qingqing Cui, Zili Zhang, Chunjin Wang, Hyukmo Kang, Weslin Pullen, Heejoo Choi, Daewook Kim, Vipender Negi, Qian Kemao, Yi Zhu, Stefano Giorgio, Philip Boccabella, Nathalie Bouet, Corey Austin, Mourad Idir

Get full text

Application of multi-source remote sensing technologies in identification and evolution mechanism analysis of creep landslides: a case study of Shibatai landslide in Wenchuan earth... by Defu Wang, Li Liu, Li Liu, Chao Luo, Xuehu Wen, Yongxin Li, Dongyu Ren, Wei Tang

Get full text

CAU²DNet: A Dual-Branch Deep Learning Network and a Dataset for Slum Recognition with Multi-Source Remote Sensing Data by Xi Lyu, Chenyu Zhang, Lizhi Miao, Xiying Sun, Xinxin Zhou, Xinyi Yue, Zhongchang Sun, Yueyong Pang

“…The efficient and precise identification of urban slums is a significant challenge for urban planning and sustainable development, as their morphological diversity and complex spatial distribution make it difficult to use traditional remote sensing inversion methods. Current deep learning (DL) methods mainly face challenges such as limited receptive fields and insufficient sensitivity to spatial locations when integrating multi-source remote sensing data, and high-quality datasets that integrate multi-spectral and geoscientific indicators to support them are scarce. …”
Get full text

Potential of Natural Sheep Casings Waste as a Sole Nitrogen Source for the Marine Microalga <i>Scenedesmus rubescens</i> MDP19 Growth and Lipid Production by Sanaa Ouzakar, Nadia Skali Senhaji, Francesca Rigano, Cinzia Cafarella, Francesco Cacciola, Luigi Mondello, Jamal Abrini

“…The meat industry is one of the main sources of organic waste in the food processing sector. …”
Get full text

Probabilistic Optimization Method for Pilot-Bus Selection and Network Partitioning of AC/DC System by Wei YAN, Biao YANG, Jingshan MO, Youbin ZHOU, Tao WANG, Fan XIAO

“…To ensure higher voltage control ability of regional power supply to the converter bus, a probabilistic optimization method for pilot-bus selection and network partitioning of AC/DC system is proposed in this paper. …”
Get full text

Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
Get full text

Review of Thermal Calculation Methods for Boilers—Perspectives on Thermal Optimization for Improving Ecological Parameters by Bartosz Ciupek, Andrzej Frąckowiak

“…A reasonable energy transition should be based on the direction of the thermal optimization of already functioning structures and adaptation of their operating parameters to the planned new ecological fuels in the sense of the intensification of energy converted from primary form to thermal energy, and in the last step, it should reorganize the energy and industrial sectors, leaving only these groups of devices treated as a stable and necessary source of energy. …”
Get full text

Enhancement method of series hybrid ship energy efficiency for speed and energy collaborative optimization by Yupeng Yuan, Xiaoyu Wang, Liang Tong, Chengqing Yuan, Boyang Shen, Teng Long

“…Our findings demonstrated that this optimization method can distribute the output of the power source in a better way, thereby optimising the speed of the vessel and maintaining stable sailing. …”
Get full text

Optimizing the Hexagonal Fuzzy Transportation Problem With the Novel Dhouib-Matrix-TP1 Method by Souhail Dhouib, Aida Kharrat, Taicir Loukil, Habib Chabchoub

“…Transportation Problem (TP) is considered a combinatorial optimization problem, and its aim is to minimize the total transportation cost from several sources to different destinations. …”
Get full text

A tutorial review of policy iteration methods in reinforcement learning for nonlinear optimal control by Yujia Wang, Xinji Zhu, Zhe Wu

“…Reinforcement learning (RL) has been a powerful framework for designing optimal controllers for nonlinear systems. This tutorial review provides a comprehensive exploration of RL techniques, with a particular focus on policy iteration methods for the development of optimal controllers. …”
Get full text

A Novel Method for News Recommendation on Websites Using the Clustered-Vectors Optimization Algorithm by Piyanuch Chaipornkaew, Thepparit Banditwattanawong

Get full text

Design of Optimization Method for Light Energy Utilization in Fiber Optic Day-lighting System by WANG Yifang, JIA Xiaoyu, YU Chunrong

“…【Objective】Effectively collecting sunlight and transmitting it through optical fibers to illuminate areas that require lighting can replace some traditional light sources. The fiber optic day lighting system is significantly affected by the angle of incident light and the coupling efficiency of incident light. …”
Get full text

Research on Reactor Radiation Shielding Optimization Method Based on Multi-objective Evolutionary Algorithm by LIU Chengwei1, 2, CHEN Zhenping1, 2, , YANG Chao1, 2, ZHANG Huajian1, 2, SUN Aikou1, 2, LEI Jichong1, 2, YU Tao1, 2

“…Traditional multi-objective optimization methods for radiation shielding suffer from limitations such as a restricted number of optimization objectives, a limited set of optimization parameters, and suboptimal global optimization, rendering them inadequate for intelligent radiation shielding design. …”