A hybrid recommendation system using association rule mining, i-ALS algorithm, and SVD++ approach: A case study of a B2B company by Thamer Saraei, Maha Benali, Jean-Marc Frayret

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Drug repositioning framework using embedding drug-protein-disease similarities with graph convolution network and ensemble learning by Hanaa Torkey, Heba El-Behery, Abdel-Fattah Atti, Nawal El-Fishawy

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Deep learning models for enhanced in-field maize leaf disease diagnosis by Joyce Nakatumba-Nabende, Sudi Murindanyi

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Penalty Strategies in Semiparametric Regression Models by Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz

“…Furthermore, we present a real data analysis using the Hitters dataset to demonstrate the applicability of these methods in a practical setting. …”
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A deep decentralized privacy-preservation framework for online social networks by Samuel Akwasi Frimpong, Mu Han, Emmanuel Kwame Effah, Joseph Kwame Adjei, Isaac Hanson, Percy Brown

“…Additionally, a blockchain network secures users’ data via smart contracts, ensuring robust data protection. …”
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Detection of Abnormal Pedestrian Flows with Automatic Contextualization Using Pre-Trained YOLO11n by Adrián Núñez-Vieyra, Juan C. Olivares-Rojas, Rogelio Ferreira-Escutia, Arturo Méndez-Patiño, José A. Gutiérrez-Gnecchi, Enrique Reyes-Archundia

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DeFi risk assessment: MakerDAO loan portfolio case by Ignat Melnikov, Irina Lebedeva, Artem Petrov, Yury Yanovich

“…While our findings demonstrate the model's potential for assessing risk within a single DeFi project, it is important to acknowledge that the model's assumptions may not be fully applicable to real-world data. This research underscores the importance of developing project-specific risk assessment models for individual DeFi projects and encourages further exploration of other DeFi protocols.…”
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Graph neural network-based transaction link prediction method for public blockchain in heterogeneous information networks by Zening Zhao, Jinsong Wang, Jiajia Wei

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DCLMA: Deep correlation learning with multi-modal attention for visual-audio retrieval by Jiwei Zhang, Hirotaka Hachiya

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Deep Learning Python-Based Time-Series Model for Oil Palm Yield Prediction by Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, Shahrul Azman Bakar, Haryati Abidin, Mohd Umar Ubaydah Mohd Junaidi, Hwee San Lim, Rosni Abdullah, Yusri Yusup, Syahidah Akmal Muhammad, Teh Sin Yin

“…The study utilized historical yield data from two oil palm estates, Estate A and Estate B, covering a total of 100 data points from 2015 to 2022 on a monthly basis. …”
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Expression‐based machine learning models for predicting plant tissue identity by Sourabh Palande, Jeremy Arsenault, Patricia Basurto‐Lozada, Andrew Bleich, Brianna N. I. Brown, Sophia F. Buysse, Noelle A. Connors, Sikta Das Adhikari, Kara C. Dobson, Francisco Xavier Guerra‐Castillo, Maria F. Guerrero‐Carrillo, Sophia Harlow, Héctor Herrera‐Orozco, Asia T. Hightower, Paulo Izquierdo, MacKenzie Jacobs, Nicholas A. Johnson, Wendy Leuenberger, Alessandro Lopez‐Hernandez, Alicia Luckie‐Duque, Camila Martínez‐Avila, Eddy J. Mendoza‐Galindo, David Cruz Plancarte, Jenny M. Schuster, Harry Shomer, Sidney C. Sitar, Anne K. Steensma, Joanne Elise Thomson, Damián Villaseñor‐Amador, Robin Waterman, Brandon M. Webster, Madison Whyte, Sofía Zorilla‐Azcué, Beronda L. Montgomery, Aman Y. Husbands, Arjun Krishnan, Sarah Percival, Elizabeth Munch, Robert VanBuren, Daniel H. Chitwood, Alejandra Rougon‐Cardoso

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Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences by Qing Tang, Shenghua Xu, Zhuolu Wang, Yong Wang, Shichuan Liu, Haiqin Hua

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Predictive modelling of graphene-enhanced greases using classical feedback control and quantum kernel regression by Ethan Stefan-Henningsen, Amirkianoosh Kiani

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Prediction of retention time in larger antisense oligonucleotide datasets using machine learning by Manal Rahal, Bestoun S. Ahmed, Christoph A. Bauer, Johan Ulander, Jörgen Samuelsson

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Synthesis, Characterization, and Antimicrobial Activity of Novel Sulfonated Copper-Triazine Complexes by Supun Katugampala, Inoka C. Perera, Chandrika Nanayakkara, Theshini Perera

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The association between mindfulness, psychological flexibility, and rumination in predicting mental health and well-being among university students using machine learning and struc... by Ruohan Feng, Vaibhav Mishra, Xin Hao, Paul Verhaeghen

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Automatic and accurate measurement of cattle body based on a lightweight YOLOv8-Pose model and 3D point cloud by Chunhong Yue, Xiaohang Zhang, Yajun Zhang, Haijun Jiang, Haoyuan Miao

“…Current research predominantly relies on 3D data to extract body measurement key points; however, the presence of noise in the data often leads to significant errors. …”
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Advancing Forex prediction through multimodal text-driven model and attention mechanisms by Fatima Dakalbab, Ayush Kumar, Manar Abu Talib, Qassim Nasir

“…These findings underscore the importance of integrating sentiment and technical data for enhanced Forex prediction. This study contributes to the growing field of multimodal financial forecasting, offering a foundation for future research incorporating advanced risk metrics, real-time trading systems, and broader market applications.…”
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A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts by Rajashree Dash, Spandan Udgata, Rupesh K. Mohapatra, Vishanka Dash, Ashrita Das

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Cross-domain fairness audit of sentiment label bias in foundation models: Comparing human and machine annotations on tweets and reviews by Blessing Ogbuokiri, George Obaido, Chioma Kamalu, Kehinde Aruleba, Okechinyere Achilonu, Ibomoiye Domor Mienye, Stephenson Echezona, Bridget Ujah-Ogbuagu, Laleh Seyyed-Kalantari

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