GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

“…The continuous development of the field of artificial intelligence, not only makes people's lives more convenient but also plays a role in the supervision and protection of people's lives and property safety. …”
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Color Dominance-Based Polynomial Optimization Segmentation for Identifying Tomato Leaves and Fruits by Juan Pablo Guerra Ibarra, Francisco Javier Cuevas de la Rosa, Alicia Linares Ramirez

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Development of data driven models to accurately estimate density of fatty acid ethyl esters by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari

“…Results indicate that the dataset is highly well-suited for developing reliable models based on data. Analysis reveals that temperature exerts a considerable influence on density, with pressure also playing a critical role. …”
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Enhanced clustering techniques for lithofacies and electrofacies identification in post-salt carbonate and siliciclastic reservoirs: a case study from the campos basin, Brazil by Abel Carrasquilla, Herson Rocha

“…Subsequently, nine unsupervised classification techniques-including eight clustering algorithms (e.g., k-means, k-medoids, Gaussian mixture models, spectral clustering, k-nearest neighbors, subtractive fuzzy clustering, fuzzy c-means, and agglomerative hierarchical clustering) and one neural-based mapping method (competitive neural network) - were applied. …”
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Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer by Li Ning, Li Ning, Xiu Li, Xiu Li, Yating Xu, Yating Xu, Yu Si, Yu Si, Hongting Zhao, Qinling Ren, Qinling Ren

“…BackgroundThe role of immunogenic cell death (ICD) in cervical cancer (CESC) is not well understood. …”
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Research on data management technology of shearer based on protocol matching and data compression by Zhongbin WANG, Dong WEI, Lei SI, Chaoquan LIANG, Chao TAN, Yihui ZHAO

“…Next, the switching sensor data compression algorithm based on the same state word and the analog sensor data compression algorithm based on the variable length coding are designed to improve the compression ratio of the real-time data of the shearer and reduce the overhead of the data storage subsystem. …”
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Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

“…In the aspect of rule extraction, we combine the fuzzy rough set model to propose a fuzzy confidence based on lower approximation as a metric for attribute selection, effectively addressing the role of imprecise knowledge in classification. …”
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TMAC: a Transformer-based partially observable multi-agent communication method by Xuesi Li, Shuai Xue, Ziming He, Haobin Shi

“…Agents are limited by their observations and communication ranges due to increasingly complex location arrangements, making multi-agent collaboration based on communication increasingly difficult. In this article, for multi-agent communication in some partially observable scenarios, we propose a Transformer-based Partially Observable Multi-Agent Communication algorithm (TMAC), which improves agents extracting features and generating output messages. …”
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Enhancing NOMA-MEC Based Intelligent Farming: Performance Analysis and HSBOO Optimization by Arulvizhi Mani, Sriharipriya Krishnan Chandrasekaran, Veerapu Goutham

“…The outcomes demonstrate that the suggested HSBOO algorithm can considerably enhance the throughput by 11.05% over the NOMA-MEC system.…”
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Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams by Ikenna Ekeke, Carlos Francisco Moreno-García, Eyad Elyan

“…This paper presents a deep learning framework that integrates an attention mechanism for symbol recognition, followed by a graph-based algorithm for fully automated wiring design. …”
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Research on the Optimization Method of Bus Travel Safety Considering Drivers’ Risk Characteristics by Yue Dou, Shejun Deng, Hongru Yu, Tingting Li, Shijun Yu, Jun Zhang

“…Bus drivers have an important role in ensuring road safety, as their driving circumstances fluctuate due to the combined influence of physiological, psychological, and environmental dynamics, which can cause complex and varied driving dangers. …”
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Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and Photovoltaic Power Systems for Residential Buildings by Marcus Brennenstuhl, Robert Otto, Dirk Pietruschka, Björn Schembera, Ursula Eicker

“…While currently only viable in high-wind locations, factors like rising electricity prices, cheaper battery storage, and increasing electrification could boost their future role. Within this work, a residential energy supply system consisting of a small wind turbine, PV system, heat pump, battery storage, and electric vehicle was dimensioned for different sites in Germany and Canada based on detailed simulation models and genetic algorithms in order to analyze the effect of bidirectional charging on optimal system dimensions and economic feasibility. …”
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Machine Learning for Predicting Required Cross-Sectional Dimensions of Circular Concrete-Filled Steel Tubular Columns by Anton Chepurnenko, Samir Al-Zgul, Vasilina Tyurina

“…The first and second models are based on the CatBoost algorithm. They predict the column diameter at minimum and maximum wall thicknesses, respectively. …”
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RETRACTED ARTICLE: Attention Pyramid Convolutional Neural Network Optimized with Big Data for Teaching Aerobics by Chunmei Chen

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Intelligent beehive monitoring system based on internet of things and colony state analysis by Yiyao Zheng, Xiaoyan Cao, Shaocong Xu, Shihui Guo, Rencai Huang, Yingjiao Li, Yijie Chen, Liulin Yang, Xiaoyu Cao, Zainura Idrus, Hongting Sun

“…In this paper, we proposed a hive monitoring system, and build a visualization module in the cloud to monitor the activity of bee colonies and the environmental dynamic changes. (1) We proposed a multi-bee tracking algorithm to solve the problem of monitoring bees at the door of the hive; (2) we constructed a dataset containing various complex scenes, named BEE22, for training and testing the performance of our algorithm; (3) we designed a bee counting rule, based on results of multi-bee tracking algorithm, to reasonably count the bees entering or leaving the beehive; (4) we have deployed multiple sensors around(center, margin, door, and environment) the hive to accurately reflect the changes in the environment around the hive. …”
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An Intelligent Diagnosis and Fault Detection Model Based on Fuzzy Logic for Photovoltaic Panels by Marah Bacha, Amel Terki, Rabiaa Houili

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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

“…This study tackles the imperative of energy-efficient building management by marrying advanced optimization algorithms with heating load (HL) prediction within the realm of heating, ventilation, and air conditioning (HVAC) systems. …”
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Study on Fault Diagnosis of Rolling Bearing Based on Time-Frequency Generalized Dimension by Yu Yuan, Xing Zhao, Jiyou Fei, Yulong Zhao, Jiahui Wang

“…According to grid type J and order parameter q in algorithm, the value range of J and the cut-off condition of q were optimized based on the effect on the dimension calculation. …”
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An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

“…Through the background subtraction, the weighted threshold-based segmentation of the target image from the background image, the chaotic search particle swarm optimization algorithm based on image target detection and tracking algorithm for target tracking by mean shift, the abnormal behavior of local linear embedding and detection method based on sparse representation, a comprehensive analysis of the local manifold structure of sample is set. …”
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Carrier-independent screen-shooting resistant watermarking based on information overlay superimposition by Xiaomeng LI, Daidou GUO, Xunfang ZHUO, Heng YAO, Chuan QIN

“…Financial security, an important part of national security, is critical for the stable and healthy development of the economy.Digital image watermarking technology plays a crucial role in the field of financial information security, and the anti-screen watermarking algorithm has become a new research focus of digital image watermarking technology.The common way to achieve an invisible watermark in existing watermarking schemes is to modify the carrier image, which is not suitable for all types of images.To solve this problem, an end-to-end robust watermarking scheme based on deep learning was proposed.The algorithm achieved both visual quality and robustness of the watermark image.A random binary string served as the input of the encoder network in the proposed end-to-end network architecture.The encoder can generate the watermark information overlay, which can be attached to any carrier image after training.The ability to resist screen shooting noise was learned by the model through mathematical methods incorporated in the network to simulate the distortion generated during screen shooting.The visual quality of the watermark image was further improved by adding the image JND loss based on just perceptible difference.Moreover, an embedding hyperparameter was introduced in the training phase to balance the visual quality and robustness of the watermarked image adaptively.A watermark model suitable for different scenarios can be obtained by changing the size of the embedding hyperparameter.The visual quality and robustness performance of the proposed scheme and the current state-of-the-art algorithms were evaluated to verify the effectiveness of the proposed scheme.The results show that the watermark image generated by the proposed scheme has better visual quality and can accurately restore the embedded watermark information in robustness experiments under different distances, angles, lighting conditions, display devices, and shooting devices.…”
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