An Adaptive Obstacle Avoidance Model for Autonomous Robots Based on Dual-Coupling Grouped Aggregation and Transformer Optimization by Yuhu Tang, Ying Bai, Qiang Chen

“…This approach mitigates local minima issues and enhances the global stability of obstacle avoidance. …”
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De las disciplinas a los «studies» by Lucas Monteil, Alice Romerio

“…Taking epistemic and analytical issues seriously, their study also implies understanding the long term of scientific institutionalization. …”
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From disciplines to “studies” by Lucas Monteil, Alice Romerio

“…Taking epistemic and analytical issues seriously, their study also implies understanding the long term of scientific institutionalization. …”
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Extracting Customer Behavior Pattern in a Telecom Company Using Temporal Fuzzy Clustering and Data Mining by Mohammad Fathian, Ehsan Azhdari

“…One of the most important issues in Customer Relationship Management is customer segmentation and product offer based on their needs. …”
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Human Activity Detection Events Through Human Eye Reflection using Bystander Analyzer by P. Nagalakshmi

“…However, there are still substantial performance issues that make real-world implementation challenging. …”
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STRUCTURAL CHANGES IN THE SEA ECONOMY OF UKRAINE by С. А. Горбаченко

“…The article deals with the issues of the structural transformations of the Ukrainian economy at the sectoral level, on the example of the marine economy. …”
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Analysis on Solar Panel Crack Detection Using Optimization Techniques by M.D. Dafny Lydia, K. Sri Sindhu, K. Gugan

“…In any case, these strategies cost lot of computation time and with low precision. Aiming for a few issues of the existing algorithm, a new framework is proposed to distinguish the cracks. …”
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Advanced Identification of Prosodic Boundaries, Speakers, and Accents Through Multi-Task Audio Pre-Processing and Speech Language Models by Francisco Javier Lima Florido, Gloria Corpas Pastor

“…In addition, many of them need audio to be segmented and labelled for speech synthesis and annotation tasks. …”
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CUSTOMER BEHAVIOR TRANSFORMATION: HISTORY AND TODAY by N. V. Barinova

“…The article points out that as informational-communications technologies develop, information begins to play a more and more important role in the process of customer decision-making. Apart from that issues of market segmentation were considered, classification of key groups of today’s customers was put forward and groups of customers using ICT in the process of decision-making were identified.…”
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Systemic Thinking and Requisite Holism in Mastering Logistics Risks: the Model for Identifying Risks in Organisations and Supply Chain by Bojan Rosi, Teodora Ivanuša, Borut Jereb

“…In the scope of supply chain risk research, we identified some key issues in the field, the major issue being the lack of standardization and models, which can make risk management in an organization easier and more efficient. …”
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Kingston: A Societal Patchwork by Jérémie Kroubo Dagnini

“…This ‘urban fragmentation’ examined by Romain Cruse (2010) and Rivke Jaffe (2016) actually gave rise to a true societal patchwork highlighting identity, social, political, religious and musical issues. Thus, this paper intends to study Kingston through the prism of differentiation and societal segmentation.…”
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Investigation of AI Algorithms for Photometric Online Analysis in a Draft Tube Baffle Crystallizer by Laura Marsollek, Julius Lamprecht, Norbert Kockmann

“…By utilizing AI models such as YouOnlyLookOnce version 8 (YOLOv8), YOLOv8 Segmentation (YOLO8seg), and the convolutional network for biomedical image segmentation U-Net, this study assesses their effectiveness in determining crystal size distributions from photometric images. …”
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RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis by Samyabrata Sen, Indraneel Vairagare, Jitendrapuri Gosai, Abhishek Shrivastava

“…To address these issues, we developed RABiTPy, an open-source Python software pipeline that integrates traditional and artificial intelligence-based segmentation with tracking tools within a user-friendly framework. …”
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Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy by Hassan Afzaal, Derek Rude, Aitazaz A. Farooque, Gurjit S. Randhawa, Arnold W. Schumann, Nicholas Krouglicof

“…Precision agriculture has emerged as a revolutionary technology for tackling global food security issues by optimizing crop yield and resource management. …”
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Landslide Recognition Based on DeepLabv3+ Framework Fusing ResNet101 and ECA Attention Mechanism by Xinfang Chen, Shiwei Wang, Venkata Dinavahi, Lijia Yang, Dibai Wu, Meiyi Shen

“…In recent years, semantic segmentation models have been applied to landslide recognition research and have made some achievements. …”
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Attention-Guided Multi-Task Learning for Prostate Cancer Pelvic Lymph Node Metastasis Prediction by ZHANG Zhiyuan, HU Jisu, ZHANG Yueyue, QIAN Xusheng, ZHOU Zhiyong, DAI Yakang

“…To address the aforementioned issues, an attention-guided multi-task learning network with tumor segmentation as an auxiliary task is proposed for PLNM prediction. …”
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The research on landslide detection in remote sensing images based on improved DeepLabv3+ method by Yong Li

“…Abstract In response to issues with existing classical semantic segmentation models, such as inaccurate landslide edge extraction in high-resolution images, large numbers of network parameters, and long training times, this paper proposes a lightweight landslide detection model, Landslide Detection Network (LDNet), based on DeepLabv3+  and a dual attention mechanism. …”
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Multi-scale feature fusion keypoint detection network for ship draft line localization by Bo Zhang, Yumengmeng Yin, Kefu Ma, Hong Wang

“…Existing deep learning-based methods for draft line detection primarily use segmentation techniques to segment the entire body of water before determining the waterline. …”
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Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies by Ayman El-Baz, Garth M. Beache, Georgy Gimel'farb, Kenji Suzuki, Kazunori Okada, Ahmed Elnakib, Ahmed Soliman, Behnoush Abdollahi

“…A typical CAD system for lung cancer diagnosis is composed of four main processing steps: segmentation of the lung fields, detection of nodules inside the lung fields, segmentation of the detected nodules, and diagnosis of the nodules as benign or malignant. …”
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The Role of Artificial Intelligence in Medical Imaging: From Diagnosis to Ethical Frontiers by Nouf Abuhadi

“…The challenges AI encounters in radiography include the ‘black box’ issue, accuracy of data, technological and infrastructural complexity, ethical issues such as patient privacy and data security, overreliance on AI, and bias. …”
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