LOGISTICS SERVICE INFORMATION SYSTEM AUDIT USING COBIT 5 FRAMEWORK by Husnul Hayat, Samudi Samudi

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SANA: Sentiment analysis on newspapers comments in Algeria by Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi

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Local differential privacy-based frequent sequence mining by Teng Wang, Zhi Hu

“…Specifically, PrivFSM iteratively constructs sequences into a prefix tree under LDP to mine frequent sequences from huge domain. Besides, PrivFSM leverages a threshold-based pruning strategy to prune fake nodes, which reduces perturbations and computation costs. …”
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Federated learning for privacy-enhanced mental health prediction with multimodal data integration by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

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Prediction of COVID-19 Effect on Patients during Six Month After Recovery, by Using AI Algorithm by hanan aldabagh, Ghaydaa Al-Talib

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Structure-guided decoupled contrastive framework for partial multi-view incomplete multi-label classification by Linqian Yang, Tao Zhuang, Xing Jin, Tianyang Cao, Xiyin Wu

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Big Data: Survey, Technologies, Opportunities, and Challenges by Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed Kamaleldin Mahmoud Ali, Muhammad Alam, Muhammad Shiraz, Abdullah Gani

“…Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. …”
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Blockchain-Based Crowdsourcing Framework for Machine Learning Ground Truth by Asma S. Alzahrani, Dimah H. Alahmadi, Nesreen M. Alharbi, Hana A. Almagrabi

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Location-Aware Ambient Sound Model Adaptation for On-Device Human Activity Recognition in Living Spaces by Cheolhwan Lee, Homin Kang, Soon Ju Kang

“…To mitigate domain shift, edge-based transfer learning fine-tunes a pre-trained model using locally collected data, improving classification accuracy across varying acoustic conditions. …”
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Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images by Muhammad Asad Arshed, Muhammad Ibrahim, Shahzad Mumtaz, Tenvir Ali, Gyu Sang Choi

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Scalable Nuclei Detection in HER2-SISH Whole Slide Images via Fine-Tuned Stardist with Expert-Annotated Regions of Interest by Zaka Ur Rehman, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, Fazly Salleh Abas, Phaik-Leng Cheah, Seow-Fan Chiew, Lai-Meng Looi

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Sentiment Analysis on Roman Urdu Students’ Feedback Using Enhanced Word Embedding Technique by Noureen, Sharin Hazlin Huspi Huspi, Zafar Ali

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A Novel Cascaded Approach for Classification of Tuberculosis Using Cough Audio in Real-Time Environment by Haroon Mahmood, Manal Iftikhar, Aamir Wali, Arshad Ali, Maryam Gulzar

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A Novel Multipurpose Watermarking Scheme Capable of Protecting and Authenticating Images With Tamper Detection and Localisation Abilities by Sunpreet Sharma, Ju Jia Zou, Gu Fang

“…Technologies that fall under the umbrella of Industry 4.0 can be classified into one of its four significant components: cyber-physical systems, the internet of things (IoT), on-demand availability of computer system resources, and cognitive computing. …”
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Effective BIM Curriculum Development for Construction Management Program Transformation Through a Change Management Lens by Ki Pyung Kim, Rob Freda, Seoung-Wook Whang

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A Multimodal Dataset of Cardiac, Electrodermal, and Environmental Signals by Cezar Anicai, Muhammad Zeeshan Shakir

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SELECTED ASPECTS OF DIGITAL REPRESENTATION OF INFORMATION SYSTEMS by A. Shuparskyy, Yuriy Furgala

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Time-Shifted Maps for Industrial Data Analysis: Monitoring Production Processes and Predicting Undesirable Situations by Tomasz Blachowicz, Sara Bysko, Szymon Bysko, Alina Domanowska, Jacek Wylezek, Zbigniew Sokol

“…The rapid advancement of computing power, combined with the ability to collect vast amounts of data, has unlocked new possibilities for industrial applications. …”
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Indoor Air Quality Prediction in Sick Building Using Machine and Deep Learning: Comparative Analysis by Hayder Qasim Flayyih, Jumana Waleed, Amer M. Ibrahim

“…The accuracy and the result of Ml and DL algorithms may differ depending on the datasets used and the algorithms' suitability for the specific data and application domain. Therefore, a significant benefit would be achieved by finding the best-fitted ML and DL models concerning the actual datasets and the application area. …”
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Predicting stress–strain relationships of additively manufactured materials under compression and tension using transfer learning and Wasserstein distance-based dataset pruning by Chenglong Duan, Dazhong Wu

“…Four distance metrics, including Euclidean, Cosine, Mahalanobis, and Wasserstein distances, are used to prune redundant data in the source domain by determining the distance between the source domain and the training data in the target domain. …”
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