An Integrative Framework for Healthcare Recommendation Systems: Leveraging the Linear Discriminant Wolf–Convolutional Neural Network (LDW-CNN) Model by Vedna Sharma, Surender Singh Samant, Tej Singh, Gusztáv Fekete

“…<b>Objectives</b>: The primary objective of this research is to address the challenge of class imbalance in healthcare recommendation systems. …”
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In Situ Nitrate Monitoring for Improved Fertigation in On-Demand Coupled Aquaponic Systems by Sofia Faliagka, Ioannis Naounoulis, Eleftheria Maria Pechlivani, Nikolaos Katsoulas

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A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks by Mariam Labib Francies, Abeer Twakol Khalil, Hanan M. Amer, Mohamed Maher Ata

“…To address these challenges, this research presents an innovative framework known as the Continual Learning-based Spatial–Temporal Graph Convolutional Recurrent Neural Network (STGNN-CL) for persistent and accurate long-term traffic flow prediction. …”
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External Quality Assurance Scheme as a tool for evaluating laboratory performance in a tertiary care hospital by Supriya Gulajkar, Rajni Shivkar, Sanjyoti Panchbudhe, Charushila Kadam

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Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae by Hegazy Rezk, Ali Alahmer, Abdul Ghani Olabi, Enas Taha Sayed

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Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks? by Merve Gonca, İbrahim Şevki Bayrakdar, Özer Çelik

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Variability of the Lake Onega ice coverage in the period 2000-2018 according to the satellite data by V. N. Baklagin

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An Overview of Performance Analysis and Optimization in Coexisting Satellites and Future Terrestrial Networks by Sirine Ben Ati, Hayssam Dahrouj, Mohamed-Slim Alouini

“…Additionally, the survey presents a number of papers dealing with performance analysis, namely outage probability, ergodic capacity, average symbol error rate, and effective capacity. The paper further discusses the critical challenges imposed by such integrated systems, e.g., backhaul-access cross-interference, resource coordination, channel modeling, and algorithmic complexity. …”
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Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks by Modafar Ati, Muhammad Ahmed Hassan, Muhammad Usman Ghani

“…Leveraging pre-trained ResNet-101, the Discriminator uses Mean Squared Error (MSE) loss to compare the face encodings, reinforcing the Generator to produce images with face encodings closely resembling the ground truth. …”
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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…The model also shows superior reliability with an MCC of 0.923 and an AUC of 0.978. Low error rates, including MAE (0.11), MSE (0.05), and RMSE (0.22), highlight its accuracy and predictive precision. …”
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A simple monocular depth estimation network for balancing complexity and accuracy by Xuanxuan Liu, Shuai Tang, Mengdie Feng, Xueqi Guo, Yanru Zhang, Yan Wang

“…Remarkably, our framework SimMDE, extending from AdaBins, demonstrates enhancements, resulting in substantial improvements of 11.7% and 10.3% in the absolute relative error (AbsRel) on the NYU and KITTI datasets, respectively, with fewer parameters.…”
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Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia by Edy Subowo, Imam Bukhori, warto

“…Evaluation using 10-fold cross-validation revealed that the model achieved an F1-score of 92.3%, outperforming standalone CRF (85.1%) and BiLSTM+CRF (88.7%), particularly in detecting ARTICLE entities (F1: 93.8%). Error analysis highlighted challenges in recognizing SANCTIONS entities (F1: 87.4%) due to sentence structure variability and conjunctions. …”
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A System Dynamics Approach to Corn Production in indonesia: Causal Loop Diagram by Asriani Asriani, Dhian Herdhiansyah

“…Model verification was conducted using the Mean Absolute Percentage Error (MAPE) method, and simulations were performed with Powersim software to project future outcomes. …”
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The Reliability of the GNRB® Knee Arthrometer in Measuring ACL Stiffness and Laxity: Implications for Clinical Use and Clinical Trial Design by Kayla Smith, Nicole Miller, Steve Laslovich

“…Additionally, the sample size calculations presented may aid in future research design. # Level of Evidence 3…”
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Optimizing Security of Radio Frequency Identification Systems in Assistive Devices: A Novel Unidirectional Systolic Design for Dickson-Based Field Multiplier by Atef Ibrahim, Fayez Gebali

“…The method of implementing field multiplication operation significantly influences the system’s resilience against side-channel attacks; for instance, implementation using unidirectional systolic array structures can provide enhanced error detection capabilities, improving resistance to side-channel attacks compared to traditional bidirectional multipliers. …”
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Unveiling the drivers of climate change: the impact of economic indicators, renewable energy consumption and human development through a panel ardl approach by Abhinav Pal, Zamurd Ali, Shagufta Tariq Khan, Chandan Kumar Tiwari, Mohd. Abass Bhat

“…The methodology consists of unit root tests to assess staionarity followed by cointegration and error correction analysis. Findings show GDP and renewable energy use significantly impact short-run emissions while industrialization and HDI have minimal impact. …”
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Development of a stereo vision-based UGV guidance system for bareroot forest nurseries by Sharif Shabani, Ashish R. Mulaka, Thomas A. Stokes, Tanzeel U. Rehman, Yin Bao

“…A depth image processing algorithm based on the Hough transform was employed to detect bed edge-lines, with the image-derived relative bed angle serving as the error signal for a proportional controller that corrected the vehicle’s heading and lateral deviation relative to the bed. …”
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A Machine Learning Aided Reference-Tone-Based Phase Noise Correction Framework for Fiber-Wireless Systems by Guo Hao Thng, Said Mikki

“…In recent years, the research involving the use of machine learning in the field of communication networks have shown promising results, in particular, improving receiver sensitivity against noise and link impairment. …”
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Modeling and Control of a Ballbot: A Systematic Approach by Mahmoud Abdelrahim, Mahmoud A. Thabet, Hossam S. Abbas, Mohamed M. M. Hassan, Mohamed H. Amin, Abdelrahman Morsi

“…For instance, the identified model achieved a root mean square error (RMSE) of 0.0091 for the yz-plane and 0.0495 for the xy-plane, demonstrating accurate predictive performance, and the controller successfully maintained a tilt angle within &#x00B1;1&#x00B0; under disturbances. …”
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Exploring the adsorption desulfurization efficiency using RSM and ANN methodologies by Mahyar Mansouri, Mohsen Shayanmehr, Ahad Ghaemi

“…The RBF network achieved superior precision with an R2 of 0.9951 and a mean square error (MSE) of 0.0015, outperforming the MLP. Furthermore, a global sensitivity analysis (GSA) was performed to identify the most influential input parameters, highlighting micropore volume as the dominant factor. …”
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