Advocating Pixel-Level Authentication of Camera-Captured Images by Abhijith Punnappurath, Luxi Zhao, Abdelrahman Abdelhamed, Michael S. Brown

“…This paper aims to bring attention to this issue and advocate for in-camera strategies to validate the authenticity of camera-captured images at a pixel level. …”
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Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data by Du Guangqian, Zheng Meng, Wang Shijie

“…In the era of big data, the efficient use of idle data in reinforced concrete structures has become a key issue in optimizing seismic performance evaluation methods for building structures. …”
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TL-CStrans Net: a vision robot for table tennis player action recognition driven via CS-Transformer by Libo Ma, Yan Tong

“…By utilizing the CS-Transformer, we can effectively process visual information extracted from table tennis game scenes, enabling accurate stroke recognition. …”
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Fake news detection: state-of-the-art review and advances with attention to Arabic language aspects by Eman Salamah Albtoush, Keng Hoon Gan, Saif A. Ahmad Alrababa

“…The proliferation of fake news has become a significant threat, influencing individuals, institutions, and societies at large. This issue has been exacerbated by the pervasive integration of social media into daily life, directly shaping opinions, trends, and even the economies of nations. …”
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Limited Comp Handover Algorithm For LTE-Advanced by Cheng-Chung Lin, Kumbesan Sandrasegaran, Xinning Zhu, Zhuliang Xu

“…Coordinated multipoint (CoMP) transmission and reception is the key technique in LTE-Advanced to improve the cell-edge throughput and/or system throughput. Joint processing (JP) in CoMP technology provides multiple data transmission points for each user among multiple cooperated radio base stations. …”
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Documenting and Recording Experimental Knowledge in the Nutrition Field and Supplying Food in the Crisis of the COVID-19 Disease; A Quantitative-Qualitative Study by Naseh Pahlavani

“…Materials and Method: The current quantitative-qualitative research was conducted using 14 experts, professors, and administrators of Baqiyatallah University in 2020 in the field of supply, processing, distribution, and food program of Baqiyatallah Hospital. …”
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An optimal L∞-PLA algorithm for trajectory data compression by ZHAO Huanyu, SUN Guohao, LI Tongliang, YANG Jian, PANG Chaoyi

“…MDisPLA significantly improves processing speed and reduces storage while maintaining compression quality.…”
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Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models by Oluseyi Rotimi Taiwo, Helen Onyeaka, Elijah K. Oladipo, Julius Kola Oloke, Deborah C. Chukwugozie

“…This has facilitated the development of devices based on robotics, the Internet of Things, and time-temperature indicators that are being incorporated into food processing both domestically and industrially globally. …”
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Methodological Basis and Experience of Using Data Mining Methods in Trade by D. T. Kaiyp, M. G. Zhartybayeva, Zh. O. Oralbekova

“…When processing product data, a priori methods and visualization methods were used, and their implementation in practice was described. …”
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Performance evaluation of geopolymer concrete with waste granite powder as a sustainable alternative to sand by Ahmed Minhajuddin, Arijit Saha

“…Abstract The control and disposal of solid waste pose significant global challenges, particularly in the management of waste granite powder (WGP), a by-product of granite processing industries. Addressing this issue, the present study investigates the potential of WGP as a partial substitute for fine aggregate in concrete, with replacement levels up to 50%. …”
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A comprehensive review on real-world challenges faced by hearing aid users and innovative solutions for background noise—from lab to life by Mishal Mustafa, Avinash Krishnamurthy

“…Since this is the main issue, future research should address the challenges of understanding speech in noisy environments to enhance overall satisfaction.…”
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A Novel Hybrid Differential Evolutionary Algorithm for Solving Multi-objective Distributed Permutation Flow-Shop Scheduling Problem by Xinzhe Du, Yanping Zhou

“…Abstract The Distributed Permutation Flow-Shop Scheduling Problem (DPFSP) is a classic issue in distributed scheduling that involves job allocation and processing order within a factory, and it is known to be NP-hard. …”
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Understanding Market Actors’ Perspectives on Agri-Food Data Sharing: Insights from the Digital Food Passports Pilot in Poland by Katarzyna Kosior, Paulina Młodawska

“…Additionally, concerns about how data will be interpreted—even among producers demonstrating sustainable practices—emerged as a significant issue, a topic not extensively discussed in the existing literature. …”
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What Links Sleep and Neuropathic Pain?: A Literature Review on the Neural Circuits for Sleep and Pain Control by Ho A, Drew VJ, Kim T

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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA. by Xinyi Wei, Boyu Shi

“…To address the data imbalance issue, SMOTE-ENN is utilized, and five machine learning algorithms-Decision Trees, KNN, SVM, XGBoost, and Random Forest-are applied for classification tasks. …”
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A Systematic Literature Review on Machine Learning Algorithms for the Detection of Social Media Fake News in Africa by Joshua Ebere Chukwuere, Tlhalitshi Volition Montshiwa

“…Social media platforms enable the creation, processing, and sharing of various kinds of content and information on the Internet. …”
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Challenges and Solution for Corrosion under Pipe Supports by Sachin Sajeev, Arun Nair

“…Corrosion Under Pipe Support (CUPS) also known as Touchpoint Corrosion is a widespread issue within the industry that has caused in-service leaks and ruptures. …”
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Tourism Consumpion Behavior in Natural Protected Areas by Remus Ion Hornoiu, Mihaela Ana Padurean, Ana-Maria Nica, Liviu-George Maha

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Semantic knowledge graph fusion for fake news detection: Unifying content-based features and evidence-based analysis in the COVID-19 infodemic. by Rayees Ahmad Dar, Rana Hashmy, Muhammad Shahid Anwar, Patrik Böhm, Jaroslav Frnda

“…The COVID-19 pandemic has exacerbated this issue, resulting in what the World Health Organization has termed an "infodemic." …”
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An IoT and Machine Learning-based Neonatal Sleep Stage Classification by Awais Abbas, Hafiz Sheraz Sheikh, SaadUllah Farooq Abbasi

“…Firstly, the EEG signal was pre-processed using finite impulse response filter to remove the noise and artifacts. …”
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