Improving the Dynamics of an Electrical Drive Using a Modified Controller Structure Accompanied by Delayed Inputs by Konrad Urbanski, Dariusz Janiszewski

“…The modification involves adding a delay line, with the outputs of the individual line segments summed with a weighting method, as detailed in the paper. …”
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Polynomial Chaos Expansion Approach to Interest Rate Models by Luca Di Persio, Gregorio Pellegrini, Michele Bonollo

“…We also provide both an efficiency study and an accuracy study of our approach by comparing its outputs with the ones obtained adopting the Monte Carlo approach, both in its standard and its enhanced version.…”
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Improving Model-Based Deep Reinforcement Learning with Learning Degree Networks and Its Application in Robot Control by Guoqing Ma, Zhifu Wang, Xianfeng Yuan, Fengyu Zhou

“…The superiority of the proposed method is verified by conducting extensive contrast experiments.…”
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Role of vertical farming for sustainable urban horticulture: A review by Jemal Seid Hussen, Gebeyaw E. Ahmed

“…Resource use efficiency of vertical farming and the ability to produce premium agricultural goods are driving its global appeal. …”
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Diffusion‐Based Subsurface CO2 ${ ext{CO}}_{2}$ Multiphysics Monitoring and Forecasting by Xinquan Huang, Fu Wang, Tariq Alkhalifah

“…Abstract Carbon capture and storage (CCS) plays a crucial role in mitigating greenhouse gas emissions, particularly from industrial outputs. Using seismic monitoring can aid in an accurate and robust monitoring system to ensure the effectiveness of CCS and mitigate associated risks. …”
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…The floating-point expression error detection tool PSOED is implemented, which can detect significant errors in floating-point arithmetic expressions and provide corresponding input. The method presented in this paper is based on two insights: (1) treating floating-point error detection as a search problem and selecting reliable heuristic search strategies to solve the problem; (2) fully utilizing the error distribution laws of expressions and the distribution characteristics of floating-point numbers to guide the search space generation and improve the search efficiency. …”
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Multinationals’ approach to the circular economy principles: an overview of the electronics sector and its sustainable efforts by Maria Sol Fernandes Marques Silva, Ana Paula Alves Cruz, Fabio Luiz Papaiz Gonçalves

“…Main Results: Considering the significant outputs regarding production, revenue, and waste generation in these industries, we expected that sustainability concerns such as climate change and carbon footprint reduction would appear in their agendas. …”
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Outlier Ensemble Based on Isolation Forest: The CBOEA Approach by Chaabouni Ali, Boujelben Mohamed Ayman

“…This approach combines IF and Local Outlier Factor (LOF) outputs through a clustering algorithm called OPTICS to identify the clustering structure. …”
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Performance and Economic Evaluation of Asphalt-Based High Friction Surface Treatment (HFST) Applications by Alireza Roshan, Magdy Abdelrahman

“…The goal was to develop a method to convert diverse project and material data into comparable outputs like net present value (NPV), enabling comparisons between alternatives. …”
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Quality control of DEMs using check surfaces by Francisco Javier Ariza-López, José Rodríguez-Avi

“…The trial based on autocorrelated synthetic data created following a geostatistical model (exponential law) outputs a clear result regarding the influence of intra-patch autocorrelation. …”
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Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates by Leo Buron, Andreas Erbslöh, Gregor Schiele

“…For embedded devices, both memory and computational efficiency are essential due to their constrained resources. …”
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Integration of Photovoltaic Systems With Hydrogen Production: A Review of Current Technologies and Future Perspective by Mourad Yessef, Youness Hakam, Mohamed Tabaa, Shaik Mohammad Irshad, Z. M. S. El-Barbary

“…The integration of photovoltaic (PV) systems with hydrogen production offers a sustainable method to utilize solar energy for the manufacturing of clean fuel. …”
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Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt by Shaimaa A. El-Dabaa, Farouk I. Metwalli, Ali Maher, Amir Ismail

“…This is achieved by associating the SOM outputs with lithofacies determined from petrophysical logs. …”
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Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN by Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa

“…The proposed model's classification efficiency has been authenticated through experimental analysis, which yielded an accuracy of 97.33%.…”
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Medical Image Retrieval Based on Ensemble Learning using Convolutional Neural Networks and Vision Transformers by Ahmed Yahya, Dalya Khaled, Waleed Al-Azzawi, Tawfeeq Alghazali, H. Sabah Jabr, R. Madhat Abdulla, M. Kadhim Abbas Al-Maeeni, N. Hussin Alwan, S. Saad Najeeb, Kh. T. Falih

“…Our proposed model is based on combining Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) and learns to capture both the locality and also the globality of high-level feature maps. Our method is trained to encode the images in the database and outputs a ranking list containing the most similar image to the least similar one to the query. …”
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Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

“…Manipulating the layers of the neural network in a hierarchical manner to benefit from the outputs of the layers in feedback reflects the importance of the contributions here. …”
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A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model by Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, Hanieh Shabanian

“…The study also shows that the novel model can provide outputs with lower uncertainty.…”
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Insights Gained from Using AI to Produce Cases for Problem-Based Learning by Enjy Abouzeid, Patricia Harris

“…Overall, adopting AI technology can improve efficiency in the case-writing process.…”
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Sequential Multi-Scale Modeling Using an Artificial Neural Network-Based Surrogate Material Model for Predicting the Mechanical Behavior of a Li-Ion Pouch Cell Under Abuse Conditio... by Alexander Schmid, Christian Ellersdorfer, Eduard Ewert, Florian Feist

“…To ensure computational efficiency, the heterogeneous cell structure is represented by homogenized material models. …”
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Country-Scale Crop-Specific Phenology from Disaggregated PROBA-V by Henry Rivas, Nicolas Delbart, Fabienne Maignan, Emmanuelle Vaudour, Catherine Ottlé

“…The study highlights PROBA-V’s potential for operational crop monitoring, i.e., wheat heading and oilseed rape flowering, with performance comparable to Sentinel-2. PROBA-V outputs complement Sentinel-2: phenometrics cannot be generated at plot level but are efficiently produced at regional or national scales to study phenological gradients more easily than with Sentinel-2 and with similar accuracy. …”
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