Towards Predicting Basketball Player Positions with Transformative Insights by Angelos Tsiannis, Christodoulos Efstathiades

“…This study examines the correlation between player performance, game statistics, and designated positions. It also explores how statistical contributions have evolved over time. …”
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Annotation of Text Corpora by Sentiment and Presence of Irony within a Project of Citizen Science by Ilya Vyacheslavovich Paramonov, Anatoliy Yurievich Poletaev

“…It was also shown that the results of automatic algorithms of detecting the sentiment of sentences improved by 12–13 % when using a corpus for which all the annotators (from 3 till 5) had the agreement, in comparison with a corpus annotated by only one volunteer.…”
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AI-Based model for site-selecting earthquake emergency shelters by Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin

“…These algorithms are trained using maps of emergency shelters in San Francisco, enabling the resulting model to automatically provide potential emergency shelter maps not only for the studied case but also for cities with similar criteria. …”
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Will Central Bank Digital Currencies (CBDC) and blockchain cryptocurrencies coexist in the post quantum era? by Abraham Itzhak Weinberg, Pythagoras Petratos, Alessio Faccia

“…It examines the implications of emerging quantum algorithms and cryptographic techniques such as Multi-Party Computation (MPC) and Oblivious Transfer (OT). …”
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Towards Early Fault Tolerance on a 2×N Array of Qubits Equipped with Shuttling by Adam Siegel, Armands Strikis, Michael Fogarty

“…This work thus brings us one step closer to the execution of quantum algorithms that outperform classical machines.…”
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Machine Learning-Based Methods for the Seismic Damage Classification of RC Buildings by Sung Hei Luk

“…In this study, the XGBoost method generally outperforms the other algorithms, with the highest accuracy and generalizability. …”
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Competitive plasticity to reduce the energetic costs of learning. by Mark C W van Rossum, Aaron Pache

“…The results might lead to a better understanding of biological plasticity and a better match between artificial and biological learning. Moreover, the algorithms might benefit hardware because also electronic memory storage is energetically costly.…”
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“Sirin is not inferior to Leonov”: Burrows’s Delta for stylometric analysis of Russian novels of the interwar period by F. N. Dviniatin, B. V. Kovalev

“…In addition, SVM and KNN methods are also used to classify texts. The study has two objectives: 1) to carry out a primary clustering of the styles of leading Russian prose writers of a certain era, and also, through the use of modern algorithms, to determine the place among them of the style of Nabokov (Sirin); 2) to test these algorithms for their ability to informatively and adequately solve the tasks of stylistic distribution and for the consistency of the results. …”
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A Novel Minimization Method for Sensor Deployment Via Heuristic 2-Sat Solution by Waleed Ahmed, Ali Muhammad Ali Rushdi

“…Therefore, in order to optimize such a problem, we use the special case of linear integer programming known as Boolean integer linear programming (0-1 ILP). Other algorithms like Pseudo-Boolean SAT Solvers can also be used for the minimization purpose. …”
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A Novel Method to Evaluate Patient-Ventilator Synchrony during Mechanical Ventilation by Liming Hao, Shuai Ren, Yan Shi, Na Wang, Yixuan Wang, Zujin Luo, Fei Xie, Meng Xu, Jian Zhang, Maolin Cai

“…It not only solves the defects of previous evaluation indexes but also can be used as the response parameter in the future research of ventilator control algorithms. …”
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Backstepping Predictive Direct Power Control of Grid-Connected Photovoltaic System Considering Power Quality Issue by Brahim Elkhalil Youcefa, Ahmed Massoum, Said Barkat, Patrice Wira

“…Hence, a nonlinear backstepping control method with predictive direct power control for the shunt active power filter side is presented, and a suitable backstepping DC-DC boost converter is also developed, with a view to reduce harmonic currents and insuring reactive power compensation under nonlinear loads variations on the utility grid, and also extracts the maximum amount of power from the photovoltaic generator. …”
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A graph-state based synthesis framework for Clifford isometries by Timothée Goubault de Brugière, Simon Martiel, Christophe Vuillot

“…We recover the state of the art two-qubit gate depth necessary for the execution of a Clifford circuit on an LNN architecture, concomitantly with another work. We also propose practical synthesis algorithms for Clifford isometries with a focus on Clifford operators, graph states and codiagonalization of Pauli rotations. …”
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Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace by Huy Nguyen Quoc, Vinh Truong Hoang

“…Among the available biometric traits, the unique shape of the human ear has also received loads of attention from scientists through the years. …”
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A highly granular temporary migration dataset derived from mobile phone data in Senegal by Paul Blanchard, Stefania Rubrichi

“…The article presents a suite of methodological tools that not only includes algorithmic methods for the detection of temporary migration events in digital traces, but also addresses key challenges in aggregating individual trajectories into coherent migration statistics. …”
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(Meta)verse as the next escaper from competition public enforcement by Luca Megale

“…Moving on, it is asserted as tacit collusion might be a crucial issue due to algorithms and blockchain. Metaverse might also be characterized by repeating concerns. …”
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Secure Blockchain Integration Approach for Knowledge Discovery in Industrial Internet of Things by Rohan Tripathi, Ritam Rao, Vivekananda Bhat K., Abhishek Kumar Pandey, Ashok Kumar Das

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MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

“…The proposed solution also outperformed several other state-of-the-art algorithms exists in the literature.…”
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Artificial intelligence techniques applications in the wastewater: A comprehensive review by Zakur Yahya, Márquez Fausto, Al-Taie Ali, Alsaidi Saif, Alsadoon Abeer, Mirashrafi Seyed Bagher, Flaih Laith, Zakoor Yousif

“…The critical gaps and the future directions in the (AI) algorithms for the wastewater treatment, including the explain ability of the data-driven models or transfer Learning processes and reinforcement learning, are also addressed.…”
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Model Predictive Control Used in Passenger Vehicles: An Overview by Meaghan Charest-Finn, Shabnam Pejhan

“…The paper also highlights active areas of research and development.…”
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Remote Management of Heart Failure in Patients with Implantable Devices by Luca Santini, Francesco Adamo, Karim Mahfouz, Carlo Colaiaco, Ilaria Finamora, Carmine De Lucia, Nicola Danisi, Stefania Gentile, Claudia Sorrentino, Maria Grazia Romano, Luca Sangiovanni, Alessio Nardini, Fabrizio Ammirati

“…<b>Results</b>: Precise multi-parameter algorithms, available for ICD and CRT-D patients, have been created, which also use artificial intelligence and are able to predict a new heart failure event more than 30 days in advance. …”
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