A novel method for asynchronous source localisation based on time of arrival measurements by Huijie Zhu, Sheng Liu, Zhiqiang Yao, Moses Chukwuka Okonkwo, Zheng Peng

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3D vector field-guided toolpathing for 3D bioprinting by Meghan Rochelle Griffin, Spencer E. Bertram, Noah P. Robison, Angela Panoskaltsis-Mortari, Ravi Janardan, Michael C. McAlpine

“…Abstract Complex fibrous microarchitectures are common in biology, with fiber orientation playing a key role in the structure–function relationships that govern tissue behavior. …”
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Constructing community in the Neolithic of southern Jordan: Quotidian practice in communal architecture. by Cheryl A Makarewicz, Bill Finlayson

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Inhibition mediated by group III metabotropic glutamate receptors regulates habenula activity and defensive behaviors by Anna Maria Ostenrath, Nicholas Faturos, Yağnur Işık Çiftci Çobanoğlu, Bram Serneels, Inyoung Jeong, Ekin Dongel Dayanc, Anja Enz, Francisca Hinrichsen, Aytac Kadir Mutlu, Ricarda Bardenhewer, Suresh Kumar Jetti, Stephan C. F. Neuhauss, Nathalie Jurisch-Yaksi, Emre Yaksi

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The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade by Ahmed H. Alsharif, Junhai Wang, Salmi Mohd Isa, Nor Zafir Md Salleh, Husam Azzawi Dawas, Mohammed H. Alsharif

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Machine learning–based feature prediction of convergence zones in ocean front environments by Weishuai Xu, Lei Zhang, Hua Wang

“…The convergence zone holds significant importance in deep-sea underwater acoustic propagation, playing a pivotal role in remote underwater acoustic detection and communication. …”
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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

“…Synthetic Aperture Radar (SAR), renowned for its all-weather monitoring capability and high-resolution imaging characteristics, plays a pivotal role in ocean resource exploration, environmental surveillance, and maritime security. …”
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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…Furthermore, it showcases the potential of technology to enhance our understanding of the dynamic nature of our environment, and the role that predictive analytics plays in informed decision-making. One significant benefit is the feature selection that may be customized thanks to machine learning and geospatial approaches. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…User-generated content, such as reviews and travel photos shared on social media, also plays a crucial role in influencing travel decisions. …”
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Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications by Vadivel Shanmugam, B. Uma Maheswari

“…Radar, lidar, cameras, ultrasonic, and other sensor units provide the required information for highly automated driving and pave the way for AM. …”
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Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review by Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah

“…While vaccines have played a pivotal role in the fight against infectious diseases, individuals engage in online resources to find vaccine-related support and information. …”
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Damage Scene Change Detection Based on Infrared Polarization Imaging and Fast-PCANet by Min Yang, Jie Yang, Hongxia Mao, Chong Zheng

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Relationship extraction between entities with long distance dependencies and noise based on semantic and syntactic features by Lei Wang, Fei Wu, Xiaoqing Liu, Jilong Cao, Mingwei Ma, Zhaoyang Qu

“…Abstract Relation extraction plays a crucial role in tasks such as text processing and knowledge graph construction. …”
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Microphysical detection of nano-ice nuclei to ice crystals: a platform for ice nucleation research by Devendra Pal, Ryan Hall, Yevgen Nazarenko, Leonard Barrie, Parisa A. Ariya

“…Abstract Atmospheric ice nucleation plays a crucial role in cloud formation, precipitation, and climate dynamics. …”
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Integrating Machine Learning for Enhanced Agricultural Productivity: A Focus on Bananas and Arecanut in the Context of India’s Economic Growth by B. S. Saruk, G. Mokesh Rayalu

“…Assist yield projections may provide governments and policymakers with valuable information to make well-informed choices about food security, import–export policies, and resource allocation. …”
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Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais by Fernanda Oliveira de Sousa, Victor Andre Ariza Flores, Christhian Santana Cunha, Sandra Oda, Hostilio Xavier Ratton Neto

“…In a climate change scenario where extreme precipitation events occur more frequently and intensely, risk assessment plays a critical role in ensuring the safety and operational efficiency of facilities. …”
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Cam Design and Pin Defect Detection of Cam Pin Insertion Machine in IGBT Packaging by Wenchao Tian, Pengchao Zhang, Mingfang Tian, Si Chen, Haoyue Ji, Bingxu Ma

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On the current and future potential of simulations based on directed acyclic graphs by Lutz P. Breitling, Anca D. Dragomir, Chongyang Duan, George Luta

“…Real-world data are playing an increasingly important role in regulatory decision making. …”
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Digital Land Suitability Assessment for Irrigated Cultivation of Some Agricultural Crops Using Machine Learning Approaches (Case Study: Qazvin-Abyek) by F. Jannati, F. Sarmadian

“…Land suitability maps provide essential information for agricultural planning and are vital for reducing land degradation and evaluating sustainable land use. …”
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Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling by Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso

“…Vibration monitoring plays a key role in the industrial machinery reliability since it allows enhancing the performance of the machinery under supervision through the detection of failure modes. …”
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