Evaluation of Hydropower Generation and Reservoir Operation under Climate Change from Kesem Reservoir, Ethiopia by Kinfe Bereda Mirani, Mesfin Amaru Ayele, Tarun Kumar Lohani, Tigistu Yisihak Ukumo

“…Bias, root mean square error, and coefficient of variation were used to check the accuracy of projected rainfall. …”
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A Piezoelectric Micromachined Ultrasonic Transducer-Based Bone Conduction Microphone System for Enhancing Speech Recognition Accuracy by Chongbin Liu, Xiangyang Wang, Jianbiao Xiao, Jun Zhou, Guoqiang Wu

“…Compared with the original noisy speech, the enhanced speech achieves a character error rate reduction of over 20%, approaching the speech recognition accuracy of clean speech. …”
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An Advanced Generative AI-Based Anomaly Detection in IEC61850-Based Communication Messages in Smart Grids by Aydin Zaboli, Yong-Hwa Kim, Junho Hong

“…The proposed ToD model demonstrates significant advantages over the human-in-the-loop (HITL) approach, particularly in error rate, adaptability, and scalability. Specifically, compared to HITL, the ToD model achieves a reduction in false positives (FPs) of up to 20% and enhances the accuracy of AD by up to 17.5%, resulting in a general accuracy of 97.5%. …”
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Improving WRF-Chem PM2.5 predictions by combining data assimilation and deep-learning-based bias correction by Xingxing Ma, Hongnian Liu, Zhen Peng

“…Throughout the initial 24-h period, compared with the control experiment, the results of WRF-Chem_DA_BC (WRF-Chem_DA, WRF-Chem_BC) showed an improvement in terms of root-mean-square error, with reduction proportions varying from 38.90 % to 48.86 % (18.88 % to 32.44 %, 30.10 % to 46.08 %). …”
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Reconstruction of Electrochemical Impedance Spectroscopy from Time-Domain Pulses of a 3.7 kWh Lithium-Ion Battery Module by Manuel Kasper, Manuel Moertelmaier, Hartmut Popp, Ferry Kienberger, Nawfal Al-Zubaidi R-Smith

“…With the proposed workflow, rapid pulse tests can be used for extracting electrochemical information faster than standard EIS, with a 67% reduction in measurement time. This time-domain pulsing approach provides an alternative to EIS characterization, making it particularly valuable for battery monitoring, the classification of battery packs upon their return to the manufacturer, second-life applications, and recycling.…”
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Effects of aerobic training on brachial artery flow-mediated dilation in healthy adults: a meta-analysis of inter-individual response differences in randomized controlled trials by Armin H. Paravlic, Kristina Drole

“…Conclusions The study found small improvements in baFMD, suggesting an average 19.2% reduction in cardiovascular disease (CVD) risk, with some individuals—such as prehypertensive individuals—potentially experiencing even greater benefits from AT. …”
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Variable Structure Depth Controller for Energy Savings in an Underwater Device: Proof of Stability by João Bravo Pinto, João Falcão Carneiro, Fernando Gomes de Almeida, Nuno A. Cruz

“…Specifically, the stability proof is based on a novel analysis of the system’s trajectory in the net buoyancy force-versus-depth error plane. The findings were applied to a depth-controlled sensor platform previously developed by the authors, using a well-established system model and considering physical constraints. …”
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Analysis of reservoir rock permeability changes due to solid precipitation during waterflooding using artificial neural network by Azizollah Khormali, Soroush Ahmadi, Aleksandr Nikolaevich Aleksandrov

“…These effects were associated with a reduction in solubility, collisions of the particles, and large numbers of ions in the porous media. …”
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Applying the FAIR Principles to Open Educational Resources: A Semantic Similarity Approach to Improve Resource Discovery by Farzaneh Sadeghi, Auriol Degbelo, Carsten Kessler, Reza Zolnouri

“…Notably, even with limited training data, fine-tuning the Sentence-BERT model significantly improved performance, resulting in a 16% reduction in mean squared error compared to the base model. …”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…Extensive experiments verify the superiority of our scalable method over the most commonly used data selection methods, including GreeDi, Greedymax, random selection, and stratified sampling by a substantial gain of at least 12% reduction in Relative Diversity Error (RDE). This enhanced diversity translates to a substantial improvement in the performance of various downstream learning tasks, including multi-level classification (2%-4% gain in accuracy), object detection (2% gain in mAP), and multiple-instance learning (1.3% gain in AUC).…”
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An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network by Muzamil Ahmed, Riad Alharbey, Ali Daud, Hikmat Ullah Khan, Javeria Nawal, Ghazia Arshad

“…It integrates noise reduction, adaptive beamforming, and neural diarization to enhance diarization performance in complex acoustic environments. …”
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Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…Notably, KRR exhibited exceptional performance, achieving an R² of 0.997 on the training set and 0.992 on the test set, with a mean squared error (MSE) of 0.0004. In comparison, K-ELM and QR achieved lower R² values of 0.923 and 0.817 on the test set, respectively. …”
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Combinatorial Data‐Driven Innovation of Ecofriendly Transparent Solar Heat Control Coating for Green Buildings by Weibin Zhang, Man Kwan Law, Muhammad Bilal Asif, Jinglei Yang

“…The calculated solar heat gain coefficient (SHGC) and light‐to‐solar gain (LSG) ratio are 0.49 and 1.41, respectively. Temperature reduction tests using a house simulant revealed that the developed TSHC coating can reduce indoor temperatures by up to 8°C. …”
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Impact of Cloud Microphysics Initialization Using Satellite and Radar Data on CMA-MESO Forecasts by Lijuan Zhu, Yuan Jiang, Jiandong Gong, Dan Wang

“…Furthermore, the root mean square error (RMSE) of the 2 m temperature forecasts decreased across all 1–72 h lead times, with a 4.2% reduction during the 1–9 h period, while the geopotential height RMSE reductions reached 5.8%, 3.3%, and 2.0% at 24, 48, and 72 h, respectively. …”
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Development and Validation of a Methodology for Predicting Fuel Consumption and Emissions Generated by Light Vehicles Based on Clustering of Instantaneous and Cumulative Vehicle Po... by Paúl Alejandro Montúfar Paz, Julio Cesar Cuisano

“…Interestingly, the study revealed an average increase in fuel consumption of 0.43 L per 1000 m of altitude gain, while CO₂ emissions showed a significant reduction from 260.93 g/km to 215.90 g/km when ascending from 500 m to 4000 m. …”
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Seismic Attribute Extraction and Application Based on the Gabor Wavelet Transform by Ran Xiong, Xuri Huang, Liang Guo, Xuan Zou, Haonan Tian

“…Thus, we propose a new seismic attribute extraction method based on the Gabor wavelet transform and linear dimensionality reduction. This method does not use the peaks or troughs of the seismic signal and instead focuses on the energy change in the seismic signal at the strata interface. …”
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Time-series characterization of various honey types under different storage conditions based on total polyphenol content and fluorescence properties by Takumi Murai, Teruki Tobari, Sota Kudo, Yoshito Saito

“…Partial least squares regression (PLSR) models constructed using EEM data demonstrated robust TPC prediction capability with R²cv of 0.92, root mean square error cross validation (RMSECV) of 40.66 μg gallic acid equivalent/g and residual prediction deviation (RPD) of 3.61. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Integrated with an FFT-OFDM transmission system, it clearly outperforms the DCT-OFDM variant in terms of noise robustness and bit error rate reduction, paving the way for secure, high-performance communications.…”
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Assessment of operational non-time-critical Sentinel-6A Michael Freilich radio occultation data: insights into tropospheric GNSS signal cut-off strategies and processor improvement... by S. Paolella, A. Von Engeln, S. Padovan, R. Notarpietro, C. Marquardt, F. Sancho, V. Rivas Boscan, N. Morew, F. Martin Alemany

“…</p> <p>The validation of the EUMETSAT processed Sentinel-6A RO-NTC data against the European Centre for Medium-Range Weather Forecasts (ECMWF) short-range forecasts and comparisons with Metop-B/C and EUMETSAT-processed SPIRE occultations, highlights the reduction in random error and modifications in the tropospheric bias structure, a result of the enhancements in data processing techniques. …”
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A prediction model for guiding tumor microwave ablation surgery based on simulation by Lu Qian, Yamin Yang, Pan Chen, Jia Liu, Xiaofei Jin, Zhiyu Qian, Chunxiao Chen

“…Compared to traditional simulation methods, our approach reduces the long-diameter error of the ablation zone from 1.1[Formula: see text]cm to 0.29[Formula: see text]cm, achieving a 74% reduction in error. …”
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