Advanced Cotton Boll Segmentation, Detection, and Counting Using Multi-Level Thresholding Optimized with an Anchor-Free Compact Central Attention Network Model by Arathi Bairi, Uma N. Dulhare

“…This analysis identified several limitations and issues with these techniques, including their complex structure, low performance, time complexity, poor quality data, and so on. …”
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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…In the preprocessing phase, super-resolution is applied to input data using LapSRN to effectively enhance the data quality, aiming to achieve optimal performance. …”
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Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review by Yanzhao Yang, Jian Wang, Xinyu Guo, Xinyu Yang, Wei Qin

“…It also proposes future directions to bridge the gap between simulated and real-world data, aiming to optimize hybrid training models for improved autonomous driving applications.…”
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Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

“…This adaptation involves mixing samples while aiming to maintain the data's temporal structure and integrating target contributions into the loss function. …”
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Impact of work competencies on job performance among university counsellors. by Jie Cao, Nur Naha Abu Mansor, Jinhua Li

“…Data were collected from 310 university counsellors using multiple sampling techniques. …”
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Onde estavam as freguesias goianas até 1783? by Vinicius Sodré Maluly

“…Lastly, quantitative analytics were extracted aiming to apprehend established trends over the gathered data, in reference to demography and also to the distance between each chapel and its "freguesia". …”
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Antecedents of Generation Y consumers’ perceived value of social media advertisements by Marko van Deventer, Marcelle Saraiva

“…These techniques were used to validate the data and examine the relationships between the studied latent factors. …”
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Exploring machine learning approaches for precipitation downscaling by Honglin Zhu, Qiming Zhou, Jukka M. Krisp

“…To achieve reliable and finer-scale precipitation data, many techniques and frameworks have been employed to improve the resolution of the satellite-derived precipitation data. …”
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Architecture vernaculaire de terre et évacuation des eaux by Blandine Besnard

“…Gradually abandoned since the 1970s, the vernacular heritage of the interior region of Oman is experiencing its last fires and there is an urgent need to collect both ethnological and architectural data before they definitely fall into the domain of History and Archaeology.With this in mind, a survey aiming to identify water drainage installations in three traditional mud-brick neighbourhoods in the interior of Oman (Birkat al‑Mawz, Izkī and al‑Ḥamrā') was carried out in March 2020.This survey highlighted the techniques and facilities related to water drainage in traditional Omani neighbourhoods that had never been the subject of any particular attention, but also opened up ethnoarchaeological perspectives, a discipline that postulates that ethnography can enrich the interpretation of archaeological data, or even the absence of the latter.Out of 359 identified installations, gargoyles represent 99% of the sample. …”
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“A comprehensive review of AI-enhanced decision making: An empirical analysis for optimizing medication market business” by Zainab Nadhim Jawad, Dr. Villányi Balázs János

“…Further, empirical results highlight the transformative role of AI techniques in optimizing ERP functionalities and supporting data-driven decision-making. …”
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Design of indoor positioning method jointly assisted by RIS and IMU by SUN Wei, DU Xin, SONG Qingyang, GUO Lei

“…To address the issue of excessive pilot overheads in reconfigurable intelligent surface (RIS)-assisted positioning techniques, a joint RIS and inertial measurement unit (IMU)-assisted indoor positioning method was proposed, aiming to achieve continuous and accurate positioning for a indoor mobile user equipment (UE). …”
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Modified LSTM based skin lesion segmentation and classification using optimization concept by S. Gomathi, N. Arunachalam

“…This research aims to perform segmentation and classification of skin lesions using novel deep learning techniques. …”
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Assessing Critical Success Factors for Supply Chain 4.0 Implementation Using a Hybrid MCDM Framework by Ibrahim Mutambik

“…The findings highlight that an intelligent work environment, performance tracking, and data accuracy and pertinence are the top three critical CSFs for SC digitalization. …”
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The Impact of Digital Marketing on Promotion and Sustainable Tourism Development by Artan Veseli, Leureta Bytyqi, Petrit Hasanaj, Agron Bajraktari

“…The data were analyzed qualitatively using a thematic analysis approach, encompassing a multi-step coding process involving data categorization, reduction, and display techniques. …”
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Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction by Hagar G. Abu-Faty, Ahmed Kafafy, Mohiy M. Hadhoud, Osama Abdel-Raouf

“…The proposed methodology offers a scalable, data-driven solution for addressing MCGDM problems, particularly employee churn prediction, by integrating advanced AI techniques with traditional decision-making frameworks.…”
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Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining by Yuxin You, Zhen Liu, Xiangchao Wen, Yongtao Zhang, Wei Ai

“…However, GNNs are still deficient in generalizing to diverse graph data. Aiming to this issue, large language models (LLMs) could provide new solutions for graph mining tasks with their superior semantic understanding. …”
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Exploring the Impact of Teacher-Led Silent Meditation Practices in Buddhist Sunday Schools by I Ketut Damana, Colin Simonds

“…The analytical framework of this research is based on the model proposed, which involves four stages: data collection, data reduction, data display, and conclusion drawing. …”
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Predictive Machine Learning Approaches for Supply and Manufacturing Processes Planning in Mass-Customization Products by Shereen Alfayoumi, Amal Elgammal, Neamat El-Tazi

“…Additionally, Reinforcement Learning was used in scenarios where real-world data or historical experiences were unavailable. …”
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Linear and Tree‐Based Intelligent Investigation of Cross‐Domain Housing Features to Enhance Energy Efficiency by Hafiz Muhammad Shakeel, Shamaila Iram, Hafiz Muhammad Athar Farid, Richard Hill

“…These techniques identify the most significant features influencing energy consumption. …”
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Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform by Rouzbeh Doroudi, Seyed Hossein Hosseini Lavasani, Mohsen Shahrouzi, Aref Afshar

“…By integrating these techniques, engineers are enabled to process large-scale data effectively, detect damage promptly, and make informed decisions to support civil infrastructure management practices.…”
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