A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence by Nhat-Duc Hoang, Anh-Duc Pham, Minh-Tu Cao

“…Consequently, the newly construction model can learn from historical data and carry out prediction autonomously without any prior knowledge in parameter setting. Experimental results and comparison have demonstrated that the FLSVRTSP has achieved a significant improvement in forecasting accuracy when predicting both artificial and real-world time series data. …”
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A Fisher Information Theory of Aesthetic Preference for Complexity by Sébastien Berquet, Hassan Aleem, Norberto M. Grzywacz

“…After investigating tens of models for these distributions, we show that the Logit-Losev function, a generalization of the hyperbolic-secant distribution, fits them well. …”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Utilizing an innovative fitness function in model optimization enhances prediction accuracy and adaptability to real photovoltaic power plant environments. …”
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Reliability Analysis of Improved Type-II Adaptive Progressively Inverse XLindley Censored Data by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

“…This study’s practical usefulness is demonstrated by its analysis of a real-world dataset. The results reveal that both conventional and Bayesian inferential methods function accurately, with the Bayesian outcomes surpassing those of the conventional method.…”
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A Cluster-Based Consensus Algorithm in a Wireless Sensor Network by Yanwei Li, Zhenyu Zhou, Takuro Sato

“…We analyze the effects of the initial value, the network topology (regular and irregular), and the number of clusters on the algorithm convergence rate as well as the accuracy of the value when reaching consensus. A utility function is developed based on two parameters, iteration and relative error, to help the network designers make an optimal decision based on their requirements. …”
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Generalized Weibull–Lindley (GWL) Distribution in Modeling Lifetime Data by Pius Marthin, Gadde Srinivasa Rao

“…Monte Carlo simulation was conducted to check the performance of the parameter estimates. For the inference purpose, two real-life datasets were applied and generalized Weibull–Lindley (GWL) distribution appeared to be superior over its competitors including Lindley distribution, Akash distribution, new Weibull-F distribution, Weibull–Lindley (WL) distribution, and two-parameter Lindley (TPL) distribution.…”
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Swelling Behavior of an Ethanol-Sensitive Hydrogel Immobilized on a Plasmonic Sensor Substrate by Julia Herzog, Martin Sobczyk, Marisa Rio, Christiane Schuster, Thomas Härtling, Gerald Gerlach

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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…Therefore, the ML and artificial neural network (ANN) models were trained using real data collected from 100 experimental RSW samples conducted under different RSW process parameters. …”
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INTELLIGENT TECHNOLOGY OF WAVELET ANALYSIS OF VIBRATION SIGNALS by A. V. Gulai, V. M. Zaitsev

“…Complex-functioned continuous functions of real arguments (Daubechies wavelets, Gaussian wavelets, MHat-wavelets), complex-valued functions of real arguments (Morlet and Paul wavelets), as well as real discrete functions (HААRT- and FHat-wavelets) are used as wavelet functions. …”
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Formation control method for multiple flight vehicles based on adaptive dynamic programming by Jie XIAO, Qingpu TANG, Jiale LI, Guofei LI

“…This issue highlights the need for a control method that balances real-time adaptability with robust stability during parameter tuning. …”
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Simulation-Based Logical Scenario Generation and Analysis Methodology for Evaluation of Autonomous Driving Systems by Jongwon Jeon, Jaeyeon Yoo, Taeyoung Oh, Jinwoo Yoo

“…Research has been conducted on real-world traffic to derive reasonable ranges for logical scenario parameters. …”
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The Asymptotic Form of Eigenvalues for a Class of Sturm-Liouville Problem with One Simple Turning Point

“…R(x)) (1), on [a,b, where ? is a real parameter and f(x) is a real valued function in C2(a,b which has a single zero (so called turning point) at point 0x=x and R(x) is a continuously differentiable function. …”
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Effects of off-line auricular transcutaneous vagus nerve stimulation (taVNS) on a short-term memory task: a pilot study by Francesco Fisicaro, Francesco Fisicaro, Klizia Cortese, Rita Bella, Manuela Pennisi, Giuseppe Lanza, Giuseppe Lanza, Kaoru Yuasa, Yoshikazu Ugawa, Yasuo Terao

“…Although further studies are needed to better clarify the optimal stimulation parameters, findings from this study could support the use of taVNS as a safe neuromodulation technique to improve cognitive function.…”
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Novel versions of Hölder's-Like and related inequalities with newly defined LP space, and their applications over fuzzy domain by Xiangting Shi, Ahmad Aziz Al Ahmadi, Muhammad Bilal Khan, Loredana Ciurdariu, Khalil Hadi Hakami

“…By using newly defined special means, some new versions of integral inequalities have obtained where differentiable mappings are real-valued convex-like (or convex fuzzy) mappings Lastly, nontrivial numerical examples are also included to validate the accuracy of the presented inequalities as they vary with the parameter ꙍ.…”
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IVP-YOLOv5: an intelligent vehicle-pedestrian detection method based on YOLOv5s by Yang Sun, Jiankun Song, Yong Li, Yi Li, Song Li, Zehao Duan

“…Computer vision is now vital in intelligent vehicle environment perception systems. However, real-time small-scale pedestrian detection in intelligent vehicle environment perception systems is still needs to be improved. …”
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Lithium-ion battery state of health estimation using intelligent methods by Hemavathi S

“…This study proposes an intelligent SOH estimation algorithm utilizing Feed-forward and Recurrent Neural Networks, trained with the Levenberg-Marquardt function, to predict battery SOH under various aging conditions. …”
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Hybrid Capsule Network for precise and interpretable detection of malaria parasites in blood smear images by Bader Alawfi

“…A novel composite loss function—integrating margin, focal, reconstruction, and regression losses—was employed to enhance classification accuracy, spatial localization, and robustness to class imbalance and annotation noise. …”
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A Novel Multistep Wavelet Convolutional Transfer Diagnostic Framework for Cross-Machine Bearing Fault Diagnosis by Lujia Zhao, Yuling He, Hai Zheng, Derui Dai

“…In real-world applications, there is a frequent need to extend these diagnostic techniques to machines that differ significantly in both function and structural design. …”
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The Capabilities of Amlodipine/Lisinopril Single-Pill Combination in the Treatment of Newly Diagnosed Arterial Hypertension in a Middle-Aged Patient (Case Report) by A. I. Kochetkov, M. V. Lopukhina, E. A. Kotaeva, A. A. Kirichenko, O. D. Ostroumova

“…The article provides a clinical case of amlodipine/lisinopril single-pill combination (A/L SPC) use in real clinical practice in a patient with stage II grade 2 newly diagnosed AH and its effect on blood pressure and echocardiographic myocardial fibrosis markers, including speckle tracking parameters The high antihypertensive efficacy of A/L SPC, a favorable effect on blood pressure circadian rhythm, as well as pronounced target-organ protective properties, in particular the ability to reduce LV and left atrial stiffness, were demonstrated. …”
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Optimal Energy Management of Microgrids using Quantum Teaching Learning Based Algorithm by Zahra Esmaeili, Seyed Hamid Hosseini

“…The operation cost of the microgrid is considered as an objective function. The problem is formulated as a bi-level minimum-maximum optimization problem and is solved in two levels iteratively. …”
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