Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach by Xiaoqing Dai, Lijun Sun, Yanyan Xu

“…The approach adopts two forecasts as basic models and then uses a probabilistic model selection method, random forest classification, to combine the two outputs to achieve a better forecast. In the experiments, we compare the proposed model with four other prediction models, i.e., autoregressive-moving-average, neural networks, support vector regression, and averaging ensemble model, as well as the basic models. …”
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Integrated algorithms in analysis of architecture and environment interaction- Case study: Stepped villages of Iran by Elham Zamani, Behshid Hosseini, Hossein Zabihi

“…This capability reduces the need for physical presence and enhances the accuracy of outputs in analyzing village texture. Furthermore, the identification of parameters will provide the next generation of rural housing with the density pattern of previous generations.…”
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Studying the factors affecting the karst zonation and development of Khorin Mountain using Fuzzy Logic. by Amir Saffari, Tayebeh Kiani, Sasan Zangenehtabar

“…Because of the outcrops of carbonate rocks and the presence of other variables, this mass in which there are many springs as karst aquifer outputs is susceptible of Karstification. Thus, identifying the karstic shapes as well as studying the geomorphology of karst and its development in the karst mass of Khorin is very significant. …”
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A Predictive Model for Damage Assessment and Deformation in Blast Walls Resulted by Hydrocarbon Explosions by Majid Aleyaasin

“…It is shown that both types of models fit well with the outputs of the simulation. Moreover, results of both models are close to FEM analysis. …”
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Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

“…Through hybridization with one optimizer, the three base models yield the following outputs: ETC + TSO (ETTS), NBC + TSO (NBTS), and LRC + TSO (LRTS). …”
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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

“…Unlike traditional ANFIS models, which are primarily designed for static problems, this enhanced version incorporates self-feedback relationships from previous outputs to capture the time dependencies inherent in dynamic systems. …”
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Efficient Learning of Quantum States Prepared With Few Fermionic Non-Gaussian Gates by Antonio Anna Mele, Yaroslav Herasymenko

“…We also provide an efficient property-testing algorithm that, given access to copies of a state, determines whether such a state is far or close to the set of states for which our learning algorithm works. In addition to the outputs of quantum circuits, our tomography algorithm is efficient for some physical target states, such as those arising in time dynamics and low-energy physics of impurity models. …”
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Publication Trends, Key Findings, and Research Gaps in Renewable Energy Applications in Agriculture by Piotr Pietrzak, Elżbieta Kacperska, Jakub Kraciuk, Katarzyna Łukasiewicz

“…To fulfill this aim, several research tasks were outlined: (1) analyze the distribution of publications by year regarding the application of RESs in agriculture (agriculture as a consumer and producer of RESs); (2) identify the most cited articles in this area; (3) determine which countries have made the most significant contributions to the field through their research outputs; (4) highlight the main subject areas linked to RES use in agriculture; (5) explore various practical aspects of implementing RESs in agricultural practices; and (6) suggest potential future research directions in this domain. …”
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Humatch - fast, gene-specific joint humanisation of antibody heavy and light chains by Lewis Chinery, Jeliazko R. Jeliazkov, Charlotte M. Deane

“…Throughout the humanization process, a sequence is guided toward a specific target gene and away from others via multiclass CNN outputs and gene-specific germline data. This guidance ensures final humanized designs do not sit ‘between’ genes, a trait that is not naturally observed. …”
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Assessment of the Performance of ²¹⁰Pb-Based Dating Models with a Challenging Sediment History in Maryport Harbour (UK) by José M. Abril-Hernández

“…TERESA can explicitly handle ²¹⁰Pb_exc fluxes and sedimentation rates that vary over time and shows the best performance with insightful outputs.…”
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Polymerization and modeling of phenolic resins from crude wood resin in the presence of AlCl3 by Ömür Aras, Murat Ertaş, Muhammed Yusuf Aksakal, Naile Angın, Merve Genç

“…Moreover, the modeling of synthesis reactions Artificial Neural Network (ANN) was designed with 2 inputs (temperature and turpentine/crude wood resin ratio) and 4 outputs (reaction yield, acid value, saponification value and softening point). …”
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Power Generation from Human Leukocytes/Lymphocytes in Mammalian Biofuel Cell by Güray Güven, Pablo Lozano-Sanchez, Arcan Güven

“…An open-circuit potential of 0.44 V was recorded between anode and cathode compartments where the biofuel cell potential operating under an external load of 5 kΩ was below 0.35 V. Average power outputs of 10 μW (2.4×10-6 μW/cell) were increased to 15 μW by the activation of white blood cells. …”
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Principles in practice? A policy review of the IOC's environmental sustainability agenda by Alison Cain, Michael Callan

“…This incorporates exploration of IOC documents such as policies, strategies, guidelines, reports, codes, and conference outputs. The IOC's ES agenda is interpreted as both strategy around ES, as a plan of action to achieve desired outcomes, and policies around ES, as matters of practice and principle to be enacted. …”
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Investigation of Air Quality and the Effects of Meteorological Factors on Air Pollution in Nevşehir Province by Kahraman Oğuz

“…In addition, HYSPLIT model outputs were obtained in order to analyze the sources of the 6 highest PM10 values measured. …”
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Using Simplified Models to Assist Fault Detection and Diagnosis in Large Hydrogenerators by Geraldo Carvalho Brito Junior, Roberto Dalledone Machado, Anselmo Chaves Neto

“…A second model simulates hydrogenerators dynamics using only 10 degrees of freedom, giving the monitored vibrations as outputs, under normal operating conditions or in the presence of a fault. …”
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Efficient Load Forecasting Optimized by Fuzzy Programming and OFDM Transmission by Sandeep Sachdeva, Maninder Singh, U. P. Singh, Ajat Shatru Arora

“…To reduce the error of load forecasting, fuzzy method has been used with Artificial Neural Network (ANN) and OFDM transmission is used to get data from outer world and send outputs to outer world accurately and quickly. The error has been reduced to a considerable level in the range of 2-3%. …”
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Design and Implementation of Multiple Ring Oscillator-Based TRNG Architecture by Using ADPLL by Huirem Bharat Meitei, Manoj Kumar

“…The NIST SP 800-22 test is conducted to validate the randomness of the generated bit stream outputs from the post-processing circuit.…”
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An isolated‐boost‐converter‐based unidirectional three‐phase off‐board fast charger for electric vehicles by Ahmed Elserougi, Ibrahim Abdelsalam, Ahmed Massoud

“…The multimodule option provides fault‐ride through capability for the proposed charger. The DC outputs of involved phases, that is, three isolated DC voltages, are fed to three cascaded DC–DC unidirectional buck converters. …”
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A Systematic Review and Bibliometric Analysis of the Turkish Doctoral Dissertations Completed in the Fields of Social Sciences and Humanities by Ömer Açıkgöz, Aydin Aslan

“…Some suggestions were made to reduce the problems identified concerning the quality of the main dissertation outputs.…”
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AI for chemistry teaching: responsible AI and ethical considerations by Blonder Ron, Feldman-Maggor Yael

“…Ethical issues include digital poverty, lack of national regulatory adaptation, use of content without consent, unexplainable models used to generate outputs, AI-generated content polluting the internet, lack of understanding of the real world, reducing diversity of opinions, and further marginalizing already marginalized voices and generating deep fakes. …”
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