Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model by Victor Fernandez, Virgilio Pérez, Rosa Roig

“…Results indicate high accuracies in SoC tracking (error < 0.05%) and energy demand forecasting (MSE ~6 × 10⁻⁴), demonstrating the model’s reliability and adaptability across diverse urban environments. …”
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Data-driven available capacity estimation of lithium-ion batteries based on fragmented charge capacity by Zhen Zhang, Xin Gu, Yuhao Zhu, Teng Wang, Yichang Gong, Yunlong Shang

“…The validation results indicate that the best root-mean-square error for the basic model is 0.012. Furthermore, the RMSE demonstrates consistent stability across different datasets in the transfer learning model, with fluctuations within 0.5% when considering feature combinations across cycles with spacings of 5, 10, and 20. …”
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Estimating QoE from Encrypted Video Conferencing Traffic by Michael Sidorov, Raz Birman, Ofer Hadar, Amit Dvir

“…The models achieve mean error rates of 8.27%, 7.56%, and 2.08% for FPS, R, and NIQE, respectively, using a 10-fold cross-validation technique. …”
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Exploiting cooperative sensing for accurate target tracking in industrial Internet of things by Muneeb A Khan, Muazzam A Khan, Anis U Rahman, Asad Waqar Malik, Safdar A Khan

“…Wireless sensor networks are a cornerstone of the Internet of things with many applications. An important aspect of such applications is target tracking using self-positioned known sensor nodes. …”
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The Dissolved Oxygen Prediction Method Based on Neural Network by Zhong Xiao, Lingxi Peng, Yi Chen, Haohuai Liu, Jiaqing Wang, Yangang Nie

“…Compared with the common prediction models, curve fitting (CF), autoregression (AR), grey model (GM), and support vector machines (SVM), the experimental results show that the prediction accuracy of the neural network is the highest, and all the predicted values are less than 5% of the error limit, which can meet the needs of practical applications, followed by AR, GM, SVM, and CF. …”
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Bayesian Methods for Predicting the Shape of Chinese Yam in Terms of Key Diameters by Mitsunori Kayano, Koki Kyo, Mitsuru Hachiya

“…The Bayesian method performed well on the shape prediction in terms of minimizing the mean squared error between measured shape and the prediction. …”
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Hybrid Deep–Geometric Approach for Efficient Consistency Assessment of Stereo Images by Michał Kowalczyk, Piotr Napieralski, Dominik Szajerman

“…Experimental results show that our score degrades smoothly with increasing geometric error and achieves high detection rates even at minimal distortion levels, outperforming baseline approaches based on disparity or calibration checks. …”
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Internal model control based sliding mode controller design for unstable second order delayed processes with a case study on CSTR by Mohammed Hasmat Ali, Md Nishat Anwar

“…An objective function is constituted in terms of performance measure (integral absolute error) and control effort measure (total variation of controller output). …”
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Constrained Fuzzy Predictive Control Using Particle Swarm Optimization by Oussama Ait Sahed, Kamel Kara, Mohamed Laid Hadjili

“…The radius limiting this area is adaptively changed according to the tracking error values. Moreover, the choice of the initial best position is based on prior knowledge about the search space landscape and the fact that in most practical applications the dynamic optimization problem changes are gradual. …”
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High-accuracy physical property prediction for pure organics via molecular representation learning: bridging data to discovery by Qi Ou, Hongshuai Wang, Minyang Zhuang, Shangqian Chen, Lele Liu, Ning Wang, Zhifeng Gao

“…Traditional trial-and-error methods for discovering highly functional organic compounds are expensive and time-consuming. …”
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A sociotechnical perspective for explicit unfairness mitigation techniques for algorithm fairness by Nimisha Singh, Amita Kapoor, Neha Soni

“…With the increasing use of artificial intelligence (AI) applications in decision making, there are heightened concerns about the fairness of such decisions. …”
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Whispers in End Hopping: High-Robustness Network Covert Channel Based on End Spreading by Zhengwen Wang, Fangxiao Li, Leyi Shi

“…Experimental results show that CCES achieves a bit error rate (BER) below 5% under 30% packet loss, entropy values ranging from 0.15 to 0.82 (comparable to normal traffic), and a transmission efficiency of up to 800 bits per second. …”
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AcuSim: A Synthetic Dataset for Cervicocranial Acupuncture Points Localisation by Qilei Sun, Jiatao Ma, Paul Craig, Linjun Dai, Eng Gee Lim

“…The study validates a convolutional neural network (CNN) on the proposed dataset with an accuracy of 99.73% and shows that 92.86% of predictions in validation set align within a 5mm threshold of margin error when compared to expert-annotated data. This dataset addresses the limitations of prior datasets and can be applied to applications of acupoint detection and visualization, further advancing automation in Traditional Chinese Medicine (TCM).…”
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Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security by Mahmoud Nasr, Krzysztof Brzostowski, Adam Piórkowski, Fathi E. Abd El-Samie

“…Experimental assessments indicate the method robustness against possible attacks, attaining an Area under the Receiver Operating Characteristic curve (AROC) of 0.9997 and an almost negligible Equal Error Rate (EER). Moreover, the system has a minimal computational cost, rendering it appropriate for resource-limited IoT settings. …”
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Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model by Farshid Felfelani, Yadu Pokhrel, Kaiyu Guan, David M. Lawrence

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Significant differences in terrestrial water storage estimated by four common methods by Anqi Niu, Long Sun, Ranhao Sun, Liding Chen

“…The discrepancies in water storage can be attributed to the differences in models or methods response to influencing factors, e.g., the effects of topography and land use on water storage are considered to varying degrees. The biases or errors in the average water storage caused by different methods across various years range from 90.3 mm to 136.3 mm. …”
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Nonharmonic Analysis-Based Detection-Performance Improvement Technique for Distance Estimation of 24 GHz Narrowband FMCW Radar by Shotaro Koyama, Tsubasa Suzuki, Junpei Tsutsumi, Taisei Matsuyama, Takumu Ikenaga, Fumiya Shinohara, Masaya Hasegawa, Shigeki Hirobayashi, Kazuo Yoshida

“…In particular, under low signal-to-noise ratios (SNRs), the distance-estimation errors significantly increases. This is a major obstacle in the development of applications that requiring high accuracy, such as autonomous driving and patient-health monitoring. …”
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Understanding the efficiency and uncertainty of water supply service assessment based on the Budyko framework: A case study of the Yellow River Basin, China by Tingjing Zhang, Quanqin Shao, Haibo Huang

“…The results showed that precipitation exhibited the highest sensitivity, and errors in precipitation inputs were the primary source of data input uncertainties. …”
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End-to-End Multi-Speaker FastSpeech2 With Hierarchical Decoder by Majid Adibian, Hossein Zeinali

“…Multi-speaker text-to-speech (TTS) systems play a crucial role in different applications, such as personalized voice assistants, audiobooks, and multilingual speech synthesis. …”
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Research on the Improved ICP Algorithm for LiDAR Point Cloud Registration by Honglei Yuan, Guangyun Li, Li Wang, Xiangfei Li

“…Notably, in short-range scanning scenarios, incidence angle emerges as the dominant error source. Building on this insight, this study systematically investigates the relationship between scanning incidence angles and point cloud quality. …”
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