Predicting the Tensile Strength of Plant Leaves Based on GA-SVM by Wei Chang, Meihong Liu, Yayu Huang, Junjie Lei, Kai Wu

“…A comparative analysis with other predictive algorithms demonstrates that the GA-SVM model achieves the lowest prediction error and highest accuracy, with mean absolute error and root mean squared error values of 0.0774 and 0.0745, respectively. …”
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INVARIANT SYSTEM OF AUTOMATIC WATER-LEVEL REGULATING IN THE BOILER SHELL by G. T. Kulakov, A. N. Kuchorenko

“…The latter can be accomplished by means of massive reduction of the actuation-mechanism running time which depends directly on the regulator performance.The paper examines some foreign methods of PID-regulator adjusting in the cascade system of boiler-shell water-level automatic regulation. …”
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Enhancing Human–Computer Interaction With Cultural Nuance: A Deep Reinforcement Learning Perspective by Xiaohui Wang

“…The results of the studies show that adding cultural backgrounds to temperament recognition can result in significant gains, as demonstrated by a 4.6% reduction in detection error over previous models. …”
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Aerosol single-scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations by Y. Dong, J. Li, J. Li, Z. Zhang, C. Zhang, Q. Li

“…Cross-validation using independent AERONET observations shows an average increase of 64 <span class="inline-formula">%</span> in correlation, an 11 <span class="inline-formula">%</span> reduction in RMSE, and a 10 <span class="inline-formula">%</span> reduction in MAB for the Merged-OMI dataset, as well as similar – although weaker – improvement for Merged-POLDER mainly due to the smaller sample size. …”
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The Impact of Managerial Overconfidence on Expenses Classification Shifting: The Moderating Role of Comparability of Financial Statements by Farshid Riahi Dorcheh, Iraj Torabi

“…In addition, the comparability of financial statements is an obstacle to managers' overconfidence in expense classification shifting and their piecemeal reduction over time. Therefore, the market participants should pay serious attention to the overconfident CEOs’ and the comparability of financial statements to expense classification shifting.   …”
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Enhancing Intermittent Spare Part Demand Forecasting: A Novel Ensemble Approach with Focal Loss and SMOTE by Saskia Puspa Kenaka, Andi Cakravastia, Anas Ma’ruf, Rully Tri Cahyono

“…The approach was empirically validated by comparing the model’s Mean Squared Error (MSE) performance and Area Under the Curve (AUC). …”
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Enhanced Moisture Retrieval Near Boundary Layer From Satellite Sounder Data Through Atmospheric‐Surface Radiance Separation by Ronglian Zhou, Di Di, Jun Li, Zhenglong Li

“…Validated against ERA5 and radiosonde observations, compared with the traditional Rt‐based method, the Ra‐based atmospheric profile retrievals show distinct improvements in boundary‐layer humidity retrieval with at least 20% error reduction. This approach provides a new thought to enhance humidity retrievals from hyperspectral sounders and benefits other quantitative applications such as data assimilation.…”
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Model based multi-loop predictive control scheme for multivariable processes by Arun Ramaveerapathiran, Muniraj Rathinam, Karuppiah Natarajan, Muthiah Athi, Patil Mounica

“…The proposed method directly uses the process model without approximation and reduction. A sequential relay based auto tuning procedure is applied for the tuning of the controller parameters. …”
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Investigation of DC-Biased Optical OFDM With Precoding Matrix for Visible Light Communications: Theory, Simulations, and Experiments by Tao Jiang, Ming Tang, Rui Lin, Zhenhua Feng, Xi Chen, Lei Deng, Songnian Fu, Xiang Li, Wu Liu, Deming Liu

“…To figure out the intrinsic laws of a PM method, we investigate the principles of PAPR reduction, clipping distortion optimization, and signal-to-noise ratio (SNR) distribution equalization. …”
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Optimized deep neural network architectures for energy consumption and PV production forecasting by Eghbal Hosseini, Barzan Saeedpour, Mohsen Banaei, Razgar Ebrahimy

“…The results demonstrate that ODNN outperforms the average performance of other methods, achieving a 27% improvement in forecasting accuracy and a 22% reduction in error across various metrics. These findings demonstrate the significant potential of GA-PSO as an effective tool to optimize DNN models in energy forecasting applications.…”
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Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

“…With 34.5% reduction in hardware resource consumption (0.9 W power, 57 MB memory), 1% false alarm/missed detection rate, and 27.9 ms response latency, the solution enables practical edge deployment. …”
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High-precision indoor localization in multi-level buildings by Chokri Ajroud, Jamel Hattay, Mohsen Machhout

“…The proposed method achieves an average localization error of approximately 5 cm, even in multifloor environments, through optimized reader placement and computational overhead reduction. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…The improved model achieves an average absolute percentage error reduction of 2.04 % compared to the original gray Markov model. …”
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Mapping of processes and risks in the digital transformation in metrology of ionizing radiation, a case study in X-rays air kerma calibration by Igor Fernando Modesto Garcia, Jeovana Santos Ferreira, Eric Matos Macedo, Marcos Vinicius Teixeira Navarro, José Guilherme Pereira Peixoto

“…It is also possible to estimate that artificial intelligence and automation can significantly reduce measurement risks, identification, and error in the analysis and use of calibration certificates.…”
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Design of Constant Modulus Radar Waveform for PSD Matching Based on MM Algorithm by Hao Zheng, Chaojie Qiu, Chenyu Liang, Junkun Yan

“…The proposed algorithm can be proved to converge to the stationary point, and the error reduction property can be obtained without the unitary requirements on the discrete Fourier transform (DFT) matrix. …”
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An adaptive processing model for large superalloy pipeline components by LUO Ziyan, QIN Xiansheng, WANG Zhanxi, LIU Weiwei, LI Shulu

“…Precision machining of superalloy curved surface components is an important way to achieve the weight reduction of the aerospace engine’s gas pipeline system. …”
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Internet of things driven hybrid neuro-fuzzy deep learning building energy management system for cost and schedule optimization by Deepshikha Shrivastava, Deepshikha Shrivastava, Prerna Goswami

“…On deployment in the premises of a university, the BEMS achieved a reduction in the electricity bill of 20% highlighting its effectiveness and efficacy.…”
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Enhancing Far-Field Speech Recognition with Mixer: A Novel Data Augmentation Approach by Tong Niu, Yaqi Chen, Dan Qu, Hengbo Hu

“…Experimental results demonstrate that Mixer significantly outperforms existing methods, including SpecAugment, achieving a relative word error rate (WER) reduction of 3.6% compared to the baseline. …”
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A Systematic Method for the Calibration of FEA Model of Synchronous Reluctance Machines Considering Manufacturing Effects by Andrea Credo, Paolo Pescetto

“…This approach led to a reduction in torque estimation error from 18% to 4%, and an improvement of the flux maps evaluation, thus enhancing and validating the design procedure and permitting further optimization steps of machines with similar geometry and dimensions. …”
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PERFORMING AN ANALYSIS OF ARRAY WAVEGUIDE (AWG) MULTIPLEXER BASED ON AN OPTICAL NETWORK by Hussein Ahmed Ali

“…Moreover, with the presence of multiple users on a single link, the transmission is performed with a high rapidity in addition to a minimum error. Consequently, the simulations can be applied to the existing fiber communication networks with ultimate reduction of the cost and operational expenditure for the overall network system. …”
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