Flow Prediction Method Combining Physical Model and Deep Learning: A Case Study of Gaodao Station along Lianjiang River by HUANG Zexi, SUN Wei, CHEN Xinlin, RONG Zerong, LUO Xiaokang, WANG Xianwei

“…This study took the "22·6" flood event at the Gaodao Station along the Lianjiang River in the middle and upper reaches of the Beijiang River in Guangdong Province as an example to explore the flow prediction method combining physical models with deep learning, aiming to improve the accuracy of hydrological predictions under extreme weather conditions. …”
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Characteristic Analysis and Error Compensation Method of Space Vector Pulse Width Modulation-Based Driver for Permanent Magnet Synchronous Motors by Qihang Chen, Wanzhen Wu, Qianen He

“…Building on this, a real-time compensation method is proposed, physically matched to the driver. …”
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Insights into the Estimation of the Enhanced Thermal Conductivity of Phase Change Material-Containing Oxide Nanoparticles using Gaussian Process Regression Method by Tzu-Chia Chen, Hasan Sh. Majdi, Aras Masood Ismael, Jamshid Pouresmi, Danial Ahangari, Saja Mohammed Noori

“…In the following, a sensitivity analysis (SA) is used to explore the effectiveness of variables in terms of outputs and shows that the temperature (T) of nanofluid (NF) is the most efficient input parameter. …”
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MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…This method results in fewer parameters, lower GFLOPs, and higher FPS. …”
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AN INVESTIGATION INTO THE PRETREATING OF A LOW-GRADE BAUXITE ORE USING MAGNETIC SEPARATION AND FLOTATION PROCESSES by Amirhossein Ashrafi, Asghar Azizi, Zahra Bahri

“…Hence, this study investigates the feasibility of removing SiO2 and Fe2O3 from a low-grade bauxite ore using magnetic separation and flotation processes. Different magnetic methods were utilized to eliminate iron impurities, and the results indicated that the high-gradient magnetic separation (HGMS) with an intensity of 18000 Gauss had the best output in reducing Fe2O3 with 18.03% Fe2O3 content and a 31.15% removal rate. …”
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Economics, energy budgeting and environmental impact assessment of coconut-based cropping system in the west coast of India by Vadivel Arunachalam, Venkatesh Paramesh, Diksha C. Salgaonkar

“…The coconut + pineapple + passion fruit system exhibited the highest economic returns with an average additional coconut equivalent yield of 8605 nuts per hectare, a high benefit-to-cost ratio of 1.99, with an average net return of USD 1558.5 per hectare. Energy efficiency among the systems was compared based on computed energy values for inputs and outputs, highest efficiency at 45.3 was recorded in the coconut + heliconia system. …”
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DEVELOPMENT OF CONTROLLED RECTIFIERS BASED ON THE BIPOLAR WITH STATIC INDUCTION TRANSISTORS (BSIT) by F. I. Bukashev, A. R. Shakhmaeva

“…It is proved that the most efficient use of the bipolar static induction transistor occurs at the low voltage controlled rectifiers 350-400 kHz, at frequencies in conjunction with a low-voltage control circuit.It is proved that the increase of the functional characteristics of the converters is connected to the expansion of the input voltage and output current ranges…”
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Nitrogen, phosphorus and potassium budget in crop production in South-Asia: regional and country trends during the last five decades by H. Pathak, Ram K. Fagodiya, Ajay Singh

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Airborne Ultrafine Particle and Acute Physiological Effects during Maximal Aerobic Power Test by Angelo Rodio, Francesco Misiti, Alessandro Zagaglia, Luca Stabile, Giorgio Buonanno, Luigi Fattorini

“…For each trial, oxygen consumption (VO2), carbon dioxide production (VĊO2), respiratory frequency (Rf), tidal volume (Vt), pulmonary ventilation (VE), and mechanical workload (WL) were measured. Gross efficiency (GE) was determined using the ratio between mechanical power output and metabolic power input. …”
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An Alternative Framework for Dynamic Mode Decomposition with Control by Gyurhan Nedzhibov

“…It is a recent development and an extension of dynamic mode decomposition (DMD) tailored for input–output systems. In this work, we investigate and analyze an alternative approach for computing DMDc. …”
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A 4–40 V Input Floating–Ground GaN-Based Buck–Boost Converter With Pre-Charge Function for Enhanced Power Efficiency by Weizhong Chen, Lei Chen, Ping Gui

“…Many applications including automotives demand DC-DC power converters that can cover wide input range with improved power efficiency. This paper presents a 4–40 V input, Gallium Nitride (GaN) based non-inverting buck-boost converter incorporating several methods to improve power efficiency. …”
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Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression by Javad Artin, Amin Valizadeh, Mohsen Ahmadi, Sathish A. P. Kumar, Abbas Sharifi

“…We used the NAS algorithm, which in the output based on heuristic methods creates an optimal model concerning input data. …”
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Feasibility Study of Ontological Development Using Semi-Automatic Method based on Lexical Frequency Analysis: A Case Study of “glaucoma” by Somayeh Tamjid, Fatemeh Nooshinfard, Moluk S. Hoseini Beheshti, nadjla Hariri, Fahimeh Babolhavaeji

“…The role of the human supervisor is narrowed to entering target terms, eliminating unnecessary outputs, and finalizing the ontology structure. In order to evaluate the efficiency of the proposed method, a case study for ontological development in the field of glaucoma has been conducted, and results are compared with medical subject headings of MESH descriptors, the Persian medical thesaurus, ontology of diseases, and Bioassay ontology (BAO). …”
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Wide-Area Power System Generation-Transmission-Storage Coordinated Planning Method Based on Multiple Flexibility Constraints and Time-Series Simulation by Dawei REN, Jinyun XIAO, Jinming HOU, Ershun DU, Chen JIN, Yuanbing ZHOU

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A Novel Damage Detection Method of Reinforced Concrete Frames Using Signal Processing and Extracted Near-Fault Fling-Step Pulses by Amir Ezzodin, Gholamreza Ghodrati Amiri, Hosein Naderpour, Morteza Raissi Dehkordi

“…The results revealed that the proposed combinatorial method could efficiently diagnose the damage in the RC frames. …”
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Triple-doped Dy3+/Tb3+/Eu3+ activated Na2Ca4(PO4)3F halo-phosphors for next-generation WLEDs and solar cell efficiency enhancement by Rahul V. Tikale, Abhijeet R. Kadam, Marta Michalska-Domańska, Sanjay J. Dhoble

“…The triple-doped phosphor exhibited color-tunable emissions under near-UV excitation, covering the blue, green, yellow, and red regions, resulting in efficient white light output. Photoluminescence (PL) studies indicated effective energy transfer among the dopant ions. …”
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A New Hybrid Intelligent Method for Accurate Short Term Electric Power Production Forecasting From Uncertain Renewable Energy Resources by Gholamreza Memarzadeh, Farshid Keynia, Faezeh Amirteimoury, Rasoul Memarzadeh, Hossein Noori

“…Subsequently, the combined model generates a 24-hour ahead RPP prediction using a weighted output approach. By capitalizing on the strengths of each individual model, the combined method mitigates their weaknesses, thereby improving the overall efficiency of the forecasting process. …”
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Precise deloading optimization strategy for wind farm based on the accurate estimation of maximum power by Chang Xu, Minghui Yin, Zaiyu Chen, Qun Li, Qiang Li, Yun Zou

“…Finally, the effectiveness and advancement of the proposed method are verified based on SimWindFarm simulation.…”
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Shape optimization of non-uniform parametric piezoelectric energy harvester beam by Milad Hasani, Hossein Shahverdi

“…The model, validated through finite element method (FEM) simulations and experimental data, enables rapid analysis and optimization of PEHs. …”
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Practices for improving labour productivity in the extractive industry by Ruslan A. Dolzhenko, Svetlana B. Dolzhenko

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