Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach by Nariman Valizadeh, Ahmed El-Shafie, Majid Mirzaei, Hadi Galavi, Muhammad Mukhlisin, Othman Jaafar

“…Recently, modern methods utilizing artificial intelligence, fuzzy logic, and combinations of these techniques have been used in hydrological applications because of their considerable ability to map an input-output pattern without requiring prior knowledge of the criteria influencing the forecasting procedure. …”
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Leveraging information and communication technology in digital economy: Exploring the contributions of the agriculture sector in Vietnam and Indonesia by Nguyễn Tô Huy, Trương Thị Hoàng Oanh, Bùi Thị Cẩm Tú, Thái Thủy Tiên, Nguyễn Hoàng Ngọc Trâm

“…The study exploits Input-Output (I-O) figures from the OECD statistical database to analyze the performance of Information and Communication Technology (ICT) applications in extending Vietnam’s digital agriculture industry. …”
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An environmental evaluation of food waste downstream management options: a hybrid LCA approach by Ramy Salemdeeb, Mohammad Bin Daina, Christian Reynolds, Abir Al-Tabbaa

“…Methods The assessment was carried out using a novel hybrid input–output-based life cycle assessment method (LCA), for 2014, and in a future decarbonised economy. …”
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Network Design Mode of In-Seam Gas Extraction Parameters Using Mathematical Modelling—Take Tangan Colliery as an Example by Tong-qiang Xia, Ke Gao, Hong-yun Ren, Jiao-fei He, Zi-long Li

“…Gas extraction design mainly relies on engineering experience rather than quantitative design, resulting in low input-output ratio of gas extraction because of unreasonable design. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…<p>The accurate calibration of parameters in atmospheric and Earth system models is crucial for improving their performance but remains a challenge due to their inherent complexity, which is reflected in input–output relationships often characterised by multiple interactions between the parameters, thus hindering the use of simple sensitivity analysis methods. …”
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AtOMICS: a deep learning-based automated optomechanical intelligent coupling system for testing and characterization of silicon photonics chiplets by Jaime Gonzalo Flor Flores, Jim Solomon, Connor Nasseraddin, Talha Yerebakan, Andrey B Matsko, Chee Wei Wong

“…A cost-efficient manner that reduces schedule risk needs to involve automated testing of multiple devices that share common characteristics such as input–output coupling mechanisms, but at the same time needs to be generalizable to various types of devices and scenarios. …”
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Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines by Francisco Paulo Lépore Neto, José Daniel Biasoli de Mello, Marcelo Braga dos Santos

“…Since the linear path can be identified by traditional signal analysis, the non-linear function can be evaluated by the global input/output relationships. Validation tests are conducted in a tribological system composed by a sphere in contact with and a prismatic body, which has an imposed harmonic motion. …”
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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study by Rania Bouzid, Jyotindra Narayan, Hassène Gritli

“…To accomplish this, we first formed three input-output datasets (a fixed-step-size dataset, a random-step-size dataset, and a sinusoidal-signal-based dataset) of joint positions and their respective Cartesian coordinates using direct geometrical formulations of a two-degree-of-freedom (2-DoF) manipulator. …”
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Electroacupuncture Increases the Hippocampal Synaptic Transmission Efficiency and Long-Term Plasticity to Improve Vascular Cognitive Impairment by Yaling Dai, Yuhao Zhang, Minguang Yang, Huawei Lin, Yulu Liu, Wenshan Xu, Yanyi Ding, Jing Tao, Weilin Liu

“…Electrophysiological techniques were used to detect the field characteristics of the hippocampal CA3–CA1 circuit in each group of rats, including input-output (I/O), paired-pulse facilitation ratios (PPR), field excitatory postsynaptic potential (fEPSP), and excitatory postsynaptic current (EPSC). …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…RBFNN is a three-layer network comprising of input, output, and hidden layers that can process large amounts. …”
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Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling by R. J. O'Loughlin, D. Li, R. Neale, T. A. O'Brien, T. A. O'Brien

“…We propose three types of understanding as a basis to evaluate trust in dynamical and AI models alike: (1) instrumental understanding, which is obtained when a model has passed a functional test; (2) statistical understanding, obtained when researchers can make sense of the modeling results using statistical techniques to identify input–output relationships; and (3) component-level understanding, which refers to modelers' ability to point to specific model components or parts in the model architecture as the culprit for erratic model behaviors or as the crucial reason why the model functions well. …”
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Prediction and Analysis of metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control——A case study of Zhejiang Province, China... by Siqi Li, Yang Zhang, Tianqi Liu, Jinbo Zhang, Huaicheng Guo, Xiao Pu, Lu Lu, Changbo Qin

“…In detail, the prediction of water metabolism network in future scenario is established based on the Grey Model-Biproportional Scaling Method (GM-RAS) and the Input-Output Analysis (IOA). Subsequently, the Ecological Network Analysis (ENA) is applied to execute water metabolism analysis under the water quantity-quality joint control perspective. …”
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Computation and Visualization of Regional-Scale Forest Disturbance and Associated Dissolved Nitrogen Export from Shenandoah National Park, Virginia by Keith N. Eshleman, Daniel A. Fiscus, Nancy M. Castro, James R. Webb, J Jr. Deviney

“…Vegetation disturbances can apparently cause major changes in N input-output balances with potentially important ramifications for low-order forest streams and downstream receiving waters.…”
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A Framework for Analyzing Absorptive Capacity Using Social Network Analysis (Case Study: Sharif University Innovation Ecosystem) by Mahdi Mohammadi, Mahdi Elyasi, Azadeh Savehshemshaki

“…Conclusion The absorption capacity model has been identified by extracting the role of each technology field from within and outside the cluster utilizing the social network analysis method by computing the degree of knowledge input, output, and intermediateness. Through expert opinions and a literature review, the improvement solutions of the knowledge network have been identified and are presented as part of a transition mechanism to enhance the condition.…”
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In Vivo Plasticity at Hippocampal Schaffer Collateral-CA1 Synapses: Replicability of the LTP Response and Pharmacology in the Long-Evans Rat by A. Ahnaou, E. White, R. Biermans, N. V. Manyakov, W. H. I. M. Drinkenburg

“…Results: (1) When compared to Sprague-Dawley (SD) rats, the HFS using a stimulus intensity of 50% of the maximum slope obtained from input/output (I/O) curves elicited lower and higher thresholds of synaptic plasticity responses in SD and LE rats, respectively. …”
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Aging Alters Olfactory Bulb Network Oscillations and Connectivity: Relevance for Aging-Related Neurodegeneration Studies by A. Ahnaou, D. Rodriguez-Manrique, S. Embrechts, R. Biermans, N. V. Manyakov, S. A. Youssef, W. H. I. M. Drinkenburg

“…The OB of aged mice showed a significant increase in the number of histone H2AX-positive neurons, a marker of DNA damage. While the input-output relationship measure of basal synaptic activity was found not to differ between young and aged mice, a pronounced decline in the slope of field excitatory postsynaptic potential (fEPSP) and the population spike amplitude (PSA) were found in aged mice. …”
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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

“…In particular, the de facto HPC benchmark, LINPACK, cannot reflect the AI computing power and input/output performance without a representative workload. …”
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Energy and cost analysis of bottom waste cooking oil (B-WCO) based solid alcohol biofuel and supernatant waste cooking oil (S-WCO) based biodiesel by Ramin Nabizadeh, I.L. García, Zohreh Bahmani, Abbas Norouzian Baghani, Sodeh Sadjadi, Kamyar Yaghmaeian, Bahram Kamarehie, Amir Hossein Mahvi, Masud Yunesian

“…The objective of this work is to conduct energy and cost balances for biodiesel and SABF generation from supernatant waste cooking oil (S-WCO) and bottom waste cooking oil (B-WCO) derived from catering facilities in Iran, respectively. The total energy input/output for SABF and biodiesel, respectively, were 31.738/37.180 MJ/L and 34.269/42.163 MJ/L, with the majority of the energy contribution being B-WCO/S-WCO (78.77/73.57 %), followed by machinery (19.76/18.30 %), and ethanol/methanol (0.69/7.47 %), in both cases. …”
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Neuromodulatory Effects of Transcranial Direct Current Stimulation on Motor Excitability in Rats by Hui-Hua Liu, Xiao-Kuo He, Hsin-Yung Chen, Chih-Wei Peng, Alexander Rotenberg, Chi-Hung Juan, Yu-Cheng Pei, Hao-Li Liu, Yung-Hsiao Chiang, Jia-Yi Wang, Xiao-Jun Feng, Ying-Zu Huang, Tsung-Hsun Hsieh

“…To examine the responses of tDCS-elicited plasticity, the motor evoked potential (MEP) and MEP input-output (IO) curve elicited by epidural motor cortical electrical stimulus were evaluated at baseline and after 30 min of anodal tDCS or cathodal tDCS. …”
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Components of stakeholder participation to create value in the banking industry in East Azerbaijan Agricultural Bank by Alireza Tagavi, Alireza Bafandeh Zendeh, Samad Aali

“…Finally, 11 cases were evaluated and identified, and the final framework was confirmed and identified by applying the total opinions of the experts, the components and indicators of the stakeholders' participation as 1- activity 2- resources 3- input/output 4- goal 5- time 6- technology 7- Laws 8- Beneficiaries (owner, executive, customer, and supplier). …”
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