Finding allowance distribution for root and connecting rod necks of crankshaft forging according to coordinate measurements by D. T. Safarov, A. V. Chekh

“…On the basis of the methodology given in the article for determining the parameters of the allowance distribution, a technique for controlling the geometric accuracy of hot volumetric stamping has been developed, the accuracy of controlling the output parameters of the geometric accuracy of forgings of crankshafts of heavy-duty vehicles has been improved.…”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Machine learning is critical in crop production prediction because it can anticipate crop output based on factors such as location, meteorological conditions, and season. …”
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A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

“…It is concluded from the resultant analysis that the feedforward neural network outperforms in classifying intracranial images. The output generated from the classification tool gives information about the type of brain hemorrhage that ultimately helps in validating expert’s diagnosis and is treated as a learning tool for trainee radiologists to minimize the errors in the available systems.…”
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Mode Selection of a Relativistic Cherenkov Generator Based on Coaxial Combined Periodic Double-Corrugation Slow-Wave Structure by Ying Li, Jinchuan Ju, Ting Shu, Wei Zhang, Yunxiao Zhou, Hongtao Yao

“…In addition, the particle in cell (PIC) simulation results show that the output microwave spectrum is pure for each case, which demonstrates that the quasi-TEM mode, TM01 mode and TM02 mode was selected successfully by using the CPD-SWS, respectively.…”
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Rotor Speed Control of a Direct-Driven Permanent Magnet Synchronous Generator-Based Wind Turbine Using Phase-Lag Compensators to Optimize Wind Power Extraction by Ester Hamatwi, Innocent E. Davidson, Michael N. Gitau

“…Due to the intermittent nature of wind, the wind power output tends to be inconsistent, and hence maximum power point tracking (MPPT) is usually employed to optimize the power extracted from the wind resource at a wide range of wind speeds. …”
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A spatial inventory of freshwater macroinvertebrate occurrences in the Guineo-Congolian biodiversity hotspot by Emmanuel O. Akindele, Abiodun M. Adedapo, Oluwaseun T. Akinpelu, Esther D. Kowobari, Oluwatosin C. Folorunso, Ibrahim R. Fagbohun, Tolulope A. Oladeji, Olanrewaju O. Aliu, Oluwatobiloba S. Adenola, Babasola W. Adu, Francis O. Arimoro, Sylvester S. Ogbogu, Sami Domisch

“…We present the final output of 8,809 occurrences consisting of 4 phyla, eight classes, 32 orders, and 1,104 species. …”
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Continuous Reinforcement Algorithm and Robust Economic Dispatching-Based Spot Electricity Market Modeling considering Strategic Behaviors of Wind Power Producers and Other Particip... by Zhenyu Zhao, Shuguang Yuan, Qingyun Nie, Weishang Guo

“…Because the gradient descent continuous actor-critic algorithm is demonstrated as an effective method in dealing with Markov’s decision-making problems with continuous state and action spaces and the robust economic dispatch model can optimize the permitted real-time wind power deviation intervals based on wind power producers’ bidding power output, in this paper, considering bidding interactions among wind power producers and other participants, we propose a gradient descent continuous actor-critic algorithm-based hour-ahead electricity market modeling approach with the robust economic dispatch model embedded. …”
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Decoupled level and flow rate control of a two-tank system in beverage production: A comparative analysis of Fuzzy-PID and GA-PID for minimum time operation. by Tamiru Demelash Kassie, Mebratu Sintie Geremew, Kassahun Ashagrie Chanie

“…In most process control industries, each process requires multiple control variables. Here two input two output (TITO) systems are considered highly interacting multivariable control systems. …”
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Effective Microorganisms Improve Growth, Nutrients Uptake, Normalized Difference Vegetation Index, Photosystem II, and Essential Oil While Reducing Canopy Temperature in Water-Stre... by Naayem M. Elgaml, Adel B. Salama, Heba Sh. Shehata, Magdi T. Abdelhamid

“…In addition, various environmental conditions, such as water stress, influence aromatic plant growth and essential oil output. The microorganisms included in biofertilizers that have enzymes that solubilize minerals include plant growth-promoting rhizobacteria (PGPRs). …”
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Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of Malang by Ika Noer Syamsiana, Harry Hassidiqi, Wijaya Kusuma, Anang Dasa Novfowan, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya

“…The method is as follows: • The fuzzy approach used a multi-input multi-output (MIMO) system with rule-base 3 × 3 × 3 matrix. • The Sugeno method was selected due to its utilization of a constant mathematical function. …”
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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning by Peter Tarabek, David Matis

“…We show that EDB arises from the inherent design of GNNs, where nodes with high or low degrees disproportionately influence output logits used for decision-making. This phenomenon impacts exploration in RL, skewing it away from mid-degree nodes, potentially hindering the discovery of optimal policies. …”
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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…The original data are first subjected to dimensionality reduction using PCA, with principal components contributing cumulatively to over 80% selected as input variables for the SVM model, while earthquake casualties are designated as the output variable. Subsequently, the optimal hyperparameters for the SVM model are obtained using the Bayesian Optimization algorithm. …”
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Prioritizing implementation solutions for the urban family physician policy in Iran: a multi-criteria decision-making study by Lida Shams, Mohammadreza Mobinizadeh, Taha Nasiri, Fatemeh Mohammadi

“…Making crucial decisions entails handling matters relating to funding, administration, personnel, architecture, ethos, remuneration, IT systems, oversight, insurance organization output, and execution.…”
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Economic burden of acute kidney injury in children and adults: a protocol for a systematic review and meta-analysis by Sean M Bagshaw, Catherine Morgan, Rashid Alobaidi, Emma Heydari Ulrich, Aspen Lillywhite, Michael Paulden, Michael Zappitelli

“…The exposure will be AKI based on definitions using serum creatinine and/or urine output criteria, relative to patients without AKI. …”
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Feature optimization-guided high-precision and real-time metal surface defect detection network by Sixian Chan, Suqiang Li, Hongkai Zhang, Xiaolong Zhou, Jiafa Mao, Feng Hong

“…The dual-branch transformation stage’s output features are adaptively merged, which may effectively lower feature information loss, improve feature expressiveness, and allow the model to collect useful feature information. …”
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Application of Artificial Intelligence Models to Predict the Tensile Strength of Glass Fiber-Modified Cemented Backfill Materials during the Mine Backfill Process by Lei Zhu, Wenzhe Gu, Zhicheng Liu, Fengqi Qiu

“…The input variables are aeolian sand content, cement content, glass fiber length, and glass fiber content, and the output variable is the tensile strength of GFCBM. …”
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Optimization of self-nano emulsifying drug delivery system of rifampicin for nebulization using cinnamon oil as oil phase by I Komang Aan Adi Ricardo, Dewa Ayu Arimurni

“…It also has a viscosity similar to water (0.94±0.01 cP) which allows it to be nebulized easily (aerosol output rate of 0.14±0.02 g/min). Although the diluted SNEDDS has a zeta potential of -2.533±0.268 mV, it was stable for up to 4 hours during the nebulization. …”
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High Energy X-Ray Detection by MicroPattern Gaseous Detector by Saeedeh Khezripour, Mohammad Reza Rezai Rayeni

“…The Monte Carlo results showed the output current of the Micromegas detector is 5.12 pA per one input hard X-ray photon. …”
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Biofortification and fortification of wheat flour: Qualitative analysis for implementation and acceptance. by Rahima Yasin, Zahra A Padhani, Mushtaque Mirani, Muhammad Khan Jamali, Mahwish Memon, Sana Khatoon, Riya Rai, Areeba Rahman, Anushka Attaullahjan, Jai K Das

“…Wheat-flour is a staple food item in Pakistan, however, agricultural output in Pakistan varies across all provinces. Factors that hinder agricultural productivity include a shortfall of essential resources such as irrigation water, superior quality seeds and fertilizers, and machinery. …”
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ASSESSMENT OF ROMANIAN ALPINE HABITATS SPATIAL SHIFTS BASED ON CLIMATE CHANGE PREDICTION SCENARIOS by ADRIAN CONSTANTINESCU, JENICĂ HANGANU, ANTHONY LEHMANN, NICOLAS RAY

“…The distribution maps obtained indicate vulnerability areas to biodiversity loss and of interest to be monitored. The output of models will contribute to the Black Sea Catchment Observation Systems to be further accessible to scientists, decision-makers and the general public.…”
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