Optimizing 5G resource allocation with attention-based CNN-BiLSTM and squeeze-and-excitation architecture by Anfal Musadaq Rayyis, Mohammad Maftoun, Maryam Khademi, Emrah Arslan, Silvia Gaftandzhieva

“…A custom weighted loss function addresses data imbalance, while Bayesian optimization fine-tunes hyperparameters.ResultsExperimental results demonstrate that the proposed model achieves state-of-the-art predictive accuracy, with a remarkably low Mean Absolute Error (MAE) of 0.0087, Mean Squared Error (MSE) of 0.0003, Root Mean Squared Error (RMSE) of 0.0161, Mean Squared Log Error (MSLE) of 0.0001, and Mean Absolute Percentage Error (MAPE) of 0.0194. …”
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A dual-purpose solar collector as a parallel flow heat exchanger: A novel mathematical framework by Mustafa Moayad Hasan, Krisztián Hriczó

“…To ensure the reliability and robustness of the suggested model, the obtained results were compared with experimental data from existing studies, focusing on two key metrics: relative percentage error and average relative percentage error. The analysis yielded a relative percentage error of 2.94% and an average relative percentage error of 1.3%. …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

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200-Gb/s Baudrate-Pilot-Aided QPSK/Direct Detection With Single-Section Quantum-Well Mode-Locked Laser by Tam N. Huynh, Regan Watts, Vidak Vujicic, M. D. Gutierrez Pascual, Cosimo Calo, Kamel Merghem, Vivek Panapakkam, Francois Lelarge, Anthony Martinez, Badr-Eddine Benkelfat, Abderrahim Ramdane, Liam P. Barry

“…We demonstrate transmission of a 200-Gb/s superchannel over 3-km single-mode optical fiber (SMF) targeting intra-data center interconnect applications using a novel single-section quantum-well passive-mode-locked laser that generates an optical frequency comb. …”
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Condition-index based new ridge regression estimator for linear regression model with multicollinearity by Irum Sajjad Dar, Sohail Chand, Maha Shabbir, B.M. Golam Kibria

“…It has been shown that the our proposed estimator outperforms the closely related estimators in terms of minimum mean squared error (MSE). Finally, two real life applications are also provided.…”
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Structural Stiffness Identification Based on the Extended Kalman Filter Research by Fenggang Wang, Xianzhang Ling, Xun Xu, Feng Zhang

“…The numerical simulation shows that the error of structural recognition doesnot exceed 5% when the noise level is 3%. …”
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Comments on K_Hβ in ISO6336 and its approach by Li Zbaogang

“…Based on analyses and a lot of calculations,it is pointed out in this paper that the error of ISO formula Keg on longitudinal load distribu tion in which without taking account of the effect for contact pattern length boo under no load on the teeth,and the revised formula was provided.More reasonable results of calculation by revised formula are approved on field applications.…”
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An Experimental Evaluation of Indoor Localization in Autonomous Mobile Robots by Mina Khoshrangbaf, Vahid Khalilpour Akram, Moharram Challenger, Orhan Dagdeviren

“…In the performed experiments, the error margin of the WiFi-based systems reached 608.7 cm, which is not tolerable for most applications. …”
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Neural network for prediction solar radiation in Relizane region (Algeria) - Analysis study by Dahmani Abdennasser, Yamina Ammi, Salah Hanini

“…The global solar radiation prediction is the most necessary part of the project and performance of solar energy applications. The objective of the present work is to predict global solar radiation (GSR) received on the horizontal surface using an artificial neural network (ANN). …”
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Non-line-of-sight Visible Light Positioning System based on Deep Learning by HUANG Weijie, LIN Bangjiang, DING Yongqi, LUO Jiabin, HUANG Tianming

“…The experimental results show that under NLOS paths, the system's 3D mean error and Root Mean Square Error (RMSE) are 16.09 and 17.18 cm, respectively. …”
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Recurrent neural network consisting of FitzHugh–Nagumo systems: characteristics required for training by Semenova, Nadezhda Igorevna

“…In the process of research, it was found that the use of standard recurrent network training characteristics such as mean squared error or mean absolute error was not applicable to this task, so an alternative method for computing the loss function was proposed. …”
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Advanced Numerical Validation of Integrated Electrochemical-Thermal Models for PCM-Based Li-Ion Battery Thermal Management System by Mahdieh Nasiri, Hamid Hadim

“…Incorporating Capric acid (with a phase transition range of 302–305 K) as the PCM, the thermal management model demonstrates significantly improved accuracy over existing models in the literature. Notable error reductions include a 78.3% decrease in the Mean Squared Error (0.477 vs. 2.202), a 53.4% reduction in the Root Mean Squared Error (0.619 vs. 1.483), and a 55.5% drop in the Mean Absolute Percentage Error. …”
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Study on PID gain parameter optimization for a quadcopter under static wind turbulence using bio-inspired algorithms by Olukunle Kolawole Soyinka, Monica Ngunan Ikpaya, Lumi Luka

“…Abstract The use of multi-winged drones in real-world applications continues to make it a topic of scholarly research. …”
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End-Point Static Control of Basic Oxygen Furnace (BOF) Steelmaking Based on Wavelet Transform Weighted Twin Support Vector Regression by Chuang Gao, Minggang Shen, Xiaoping Liu, Lidong Wang, Maoxiang Chu

“…Therefore, the proposed model can provide a significant reference for real BOF applications, and also it can be extended to the prediction and control of other industry applications.…”
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An Improved Knowledge-Based Ground Moving Target Relocation Algorithm for a Lightweight Unmanned Aerial Vehicle-Borne Radar System by Wencheng Liu, Yuan Zhang, Xuyang Ge, Yanlei Li, Yunlong Liu, Xiangxi Bu, Xingdong Liang

“…As for the undesired phase error, the algorithm first employs a random sample consensus (RANSAC) algorithm to iteratively filter the outliers. …”
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Machine learning algorithms to predict the tensile strength of novel composite materials by S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati

“…Natural fiber-reinforced polymer (NFRP) composites are increasingly used in structural, automotive, and aerospace applications due to their lightweight, sustainable, and cost-effective properties. …”
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Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization by Bamidele A. Dada, Nnamdi I. Nwulu, Seun O. Olukanmi

“…The concordance correlation coefficient (CCC), R-squared (R²), and mean absolute percentage error (MAPE) increased, while the root mean squared error (RMSE) and mean absolute error (MAE) decreased. …”
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Next-Gen Decoding: Non-Binary LDPC Algorithms for Emerging Power Line and Visible Light Communications by Waheed Ullah, Fengfan Yang, Kwonhue Choi, Dushantha Nalin K. Jayakody

“…Non-Binary Low-Density Parity-Check (LDPC) codes have gained significant attention due to their remarkable error correction capabilities in various communication systems. …”
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A Novel Temperature Drift Compensation Algorithm for Liquid-Level Measurement Systems by Shanglong Li, Wanjia Gao, Wenyi Liu

“…The average relative error reduces by 21.535% compared with before compensation, showcasing its applicability across multiple temperature conditions and its significance in enhancing the accuracy of ultrasonic-based measurements.…”
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RADIO FREQUENCY BASED INPAINTING FOR INDOOR LOCALIZATION USING MEMORYLESS TECHNIQUES AND WIRELESS TECHNOLOGY by Tammineni Shanmukha Prasanthi, Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao, Raj Kumar Goswami, Gottapu Santosh Kumar

“…The algorithms are compared based on their performance in terms of Mean Square Error, Root Mean Square Error, Mean Absolute Error and R2. …”
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