Implementation of an Image Tampering Detection System with a CMOS Image Sensor PUF and OP-TEE by Tatsuya Oyama, Manami Hagizaki, Shunsuke Okura, Takeshi Fujino

“…In this study, we propose and demonstrate an image tampering detection system based on MAC verification with CIS-PUF and OP-TEE in an open portable TEE on an ARM processor. In the experiments, we demonstrated a system that computed and transmitted MAC for captured images using the CIS-PUF key and then performed MAC verification in the secure world of the OP-TEE.…”
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The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade by Ahmed H. Alsharif, Junhai Wang, Salmi Mohd Isa, Nor Zafir Md Salleh, Husam Azzawi Dawas, Mohammed H. Alsharif

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Cosmological correlators with double massive exchanges: bootstrap equation and phenomenology by Shuntaro Aoki, Lucas Pinol, Fumiya Sano, Masahide Yamaguchi, Yuhang Zhu

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Validating a virtual source model based in Monte Carlo method for profiles and percent depth doses calculation by Renata Aline Del Nero, Marcos Vinicius Nakaoka Nakandakari, Hélio Yoriyaz

“…Two different sizes of open fields (40 x 40 cm² and 40 x 40 cm² rotated 45°) were used and two different source to surface distance (SSD) were applied: the standard 100 cm and custom SSD of 370 cm, which is applied in radiotherapy treatments of total body irradiation. …”
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Dataset on cognitive distortions for text classification in Indonesian languageMendeley Data. by Nyoman Putra Sastra, Linawati, Gede Sukadarmika, I.P.G.H. Suputra, Ni Made Ariwilani, Ni Luh Indah Desira Swandi

“…The data was collected via a questionnaire administered to Indonesian participants aged 18 and above, capturing demographic information (anonymized), history of engagement with mental health professionals, and responses to 10 open-ended life-related questions. Two licensed psychologists manually annotated each sentence, first identifying the presence of cognitive distortions and then categorizing them into one of 10 predefined distortion types. …”
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Assessing the Use of 3D-Model Prostheses in White Storks: A Promising Method in Rehabilitation of Injured Wildlife by Rusko Petrov, Catarina Quinteira, Stefka Dimitrova

“…This study highlights the potential of 3D printing in conservation medicine, offering alternatives to euthanasia and open new perspectives in the global context of biodiversity preservation.…”
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A Reduced-Parameter Mathematical Surrogate Model for Improving Measurement Accuracy of Mechanical Systems Using Experimental Techniques by Pranav Vijay Deosant, H. P. Jawale, H. T. Thorat, Ankur Jaiswal

“…Using a polynomial model based on experimental results to obtain an input-output relationship offers an easier option than establishing a mathematical model in the case of an Open Loop Controller. Such input-output relationship is workable but sometimes experiences computational burden due to a higher degree of the polynomial. …”
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Joint Lagrangian Relaxation and Dynamic Programming Approach for a Multi-Period Multi-Product Location-Inventory Problem by Claudio Araya-Sassi, German Paredes-Belmar, Gabriel Gutierrez-Jarpa, Ricardo Gatica Escobar

“…The objective is to define which regional warehouses to open, maintain, operate, or close, which products to assign, and which customers should be supplied by the chosen distribution centers. …”
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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics by Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, Sadia Zaman, A. S. M. Sharifuzzaman Sagar, Boumediene Hamzi

“…<b>Methods</b>: The research utilised quantitative 3D/4D heart magnetic resonance imaging and tabular datasets from the Cardiac Atlas Project’s (CAP) open challenges to explore AI-driven methodologies for mitigating algorithmic bias in cardiac imaging. …”
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Analysis of two pedagogical approaches to foster discipline integrations in an educational data mining class using communities of practice by Brayan Díaz, Collin Lynch, Cesar Delgado, Kevin Han

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A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems by Md Mijanur Rahman, Ashik Uzzaman, Sadia Islam Sami, Fatema Khatun, Md Al‐Amin Bhuiyan

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Robustness of topological persistence in knowledge distillation for wearable sensor data by Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Hyunglae Lee, Pavan Turaga

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Multicriteria-Based Crowd Selection Using Ant Colony Optimization by Guan Wang, Farhad Ali, Jonghoon Yang, Shah Nazir, Ting Yang, Abdullah Khan, Muhammad Imtiaz

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DCNN: a novel binary and multi-class network intrusion detection model via deep convolutional neural network by Ahmed Shebl, E. I. Elsedimy, A. Ismail, A. A. Salama, Mostafa Herajy

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BDSER-InceptionNet: A Novel Method for Near-Infrared Spectroscopy Model Transfer Based on Deep Learning and Balanced Distribution Adaptation by Jianghai Chen, Jie Ling, Nana Lei, Lingqiao Li

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Eye movements as predictors of student experiences during nursing simulation learning events by Madison Lee Mason, Caleb Vatral, Clayton Cohn, Eduardo Davalos, Mary Ann Jessee, Gautam Biswas, Daniel T. Levin

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Photovoltaic module dataset for automated fault detection and analysis in large photovoltaic systems using photovoltaic module fault detectionMendeley Data by Rotimi-Williams Bello, Pius A. Owolawi, Etienne A. van Wyk, Chunling Du

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PSL-IoD: PUF-Based Secure Last-Mile Drone Delivery in Supply Chain Management by Mohammad D. Alahmadi, Ahmed S. Alzahrani, Azeem Irshad, Shehzad Ashraf Chaudhry

“…Although drones have largely changed the logistics landscape, there are many concerns regarding security and privacy posed to drones due to their open and vulnerable nature. The security and privacy of involved stakeholders needs to be preserved across the whole chain of Supply Chain Management (SCM) till delivery. …”
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Federated LeViT-ResUNet for Scalable and Privacy-Preserving Agricultural Monitoring Using Drone and Internet of Things Data by Mohammad Aldossary, Jaber Almutairi, Ibrahim Alzamil

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Solar Photovoltaic Diagnostic System with Logic Verification and Integrated Circuit Design for Fabrication by Abhitej Divi, Shuza Binzaid

“…However, traditional diagnostic methods implemented using MPPT, neural networks, or microcontroller-based systems often rely on complex computational algorithms and are not cost-effective. …”
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