Towards AI Copyright Equilibrium by Dermawan Artha

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Andean Epistemology Ch’ixi, and Neutrosophic Logic by Florentin Smarandache, Maikel Y. Leyva Vázquez

“…This article explores the potential of Andean epistemology—rooted in principles of complementarity (yanantin), interdependence, and indeterminacy—to enrich contemporary science and artificial intelligence (AI). …”
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Decoding wisdom: Evaluating ChatGPT's accuracy and reproducibility in analyzing orthopantomographic images for third molar assessment by Ana Suárez, Stefania Arena, Alberto Herranz Calzada, Ana Isabel Castillo Varón, Victor Diaz-Flores García, Yolanda Freire

“…The integration of Artificial Intelligence (AI) into healthcare has opened new avenues for clinical decision support, particularly in radiology. …”
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Application of intelligence models based on soft computing in investigating the discharge coefficient of the sluice gate under free-flow condition and symmetrical sill with the hel... by H.R. Abbaszadeh, Y. Hassanzadeh, R. Daneshfaraz, R. Norouzi

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Comprehensive deformation study in the new Austrian tunneling technique tunnel utilising artificial neural network model by Shubham Kanojiya, Gopal Krishna Mehta

“…In addition to conventional approaches, several intelligent methods, like ANN, have recently been used for different tunnel challenges. …”
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LSTM-IOT (LSTM-based IoT) untuk Mengatasi Kehilangan Data Akibat Kegagalan Koneksi by Yosia Adi Susetyo, Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto

“…From the optimization results, the combination of Nadam Optimizer with the selected architecture shows superior performance with a mean square error (MSE) value of 5.844 x 10⁻⁵, a mean absolute error (MAE) of 0.005971, and a root mean square error (RMSE) of 0.007645. The Environment Intelligence architecture version (a) with Nadam Optimizer proved to be the most effective in processing sensor data, so it was chosen for integration with LSTM-IOT devices. …”
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Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale by Monica Casella, Nicola Milano, Pasquale Dolce, Davide Marocco

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Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome by Gabriela Meza-Fuentes, Iris Delgado, Mario Barbé, Ignacio Sánchez-Barraza, Mauricio A. Retamal, René López

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Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations by Zohaib Khurshid, MRes, FDTFEd, FHEA, Maria Waqas, PhD, Shehzad Hasan, PhD, Shakeel Kazmi, PhD, Muhammad Faheemuddin, FCPS

“…This research work focuses on utilizing artificial intelligence and deep learning–based object detection techniques for automated detection of common dental issues in orthopantomography x-ray images, including broken roots, periodontally compromised teeth, and the Kennedy classification of partially edentulous arches. …”
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Resolving Issues in Documenting Visual Sign Language: Way Forward in the Era of Digital Communication by Benjamin Eni-itan F Afolabi, Adedola Olayinka Adeyemi, Babatunde Afeez Siyanbola, Tolulope Oladimeji Sobowale

“…During the critical investigation, studies proved that digital communication rooted in Artificial Intelligence (AI) can be adopted as an innovative solution to the issues. …”
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Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases by William DeGroat, Habiba Abdelhalim, Elizabeth Peker, Neev Sheth, Rishabh Narayanan, Saman Zeeshan, Bruce T. Liang, Zeeshan Ahmed

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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

“…The distance from the root apex to the lower border addresses natural eruptive forces and resistance during the eruption. …”
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Reforming Food, Drug, and Nutraceutical Regulations to Improve Public Health and Reduce Healthcare Costs by Sunil J. Wimalawansa

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Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer by Arslan Farooq, M. Irfan Uddin, Muhammad Adnan, Ala Abdulsalam Alarood, Eesa Alsolami, Safa Habibullah

“…The study demonstrates that the ADE-TFT model outperforms its lower-layer counterparts in terms of forecasting accuracy, with reduced Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and Root Mean Square Error (RMSE) values, particularly when using a higher hidden layer configuration (h=8). …”
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Designing a portable and accessible diffuse reflectance spectroscopy system for real-time detection of cervical intraepithelial neoplasia by Allison Scarbrough, Diana Moses, Tongtong Lu, Bing Yu

“…Phantom [Formula: see text] and [Formula: see text] were predicted with average root-mean square error of [Formula: see text], regardless of user. …”
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A Review of IoT and Machine Learning for Environmental Optimization in Aeroponics by Muhammad Amjad, Elanchezhian Arulmozhi, Yeong-Hyeon Shin, Moon-Kyung Kang, Woo-Jae Cho

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Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal Framework by Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Alicia Ying Taing, Ran Zhang

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The neural network for measuring IOP by Maklakov method: comparison between neuronal net and experts by A.A. Rascheskov, I.A. Frolychev, N.A. Pozdeeva

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Estimation of soil temperature for agricultural applications in South Africa using machine-learning methods by Lindumusa Myeni, Tlotlisang Nkhase, Ramontsheng Rapolaki, Zaid Bello, Mokhele E. Moeletsi

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An Investigation of Interpolation Techniques to Generate 2D Intensity Image From LIDAR Data by Imran Ashraf, Soojung Hur, Yongwan Park

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