Improving the Efficiency and Quality of Education as the Basis for Successful Digitalization of the Economy by I. I. Shpak, S. N. Kasanin, A. S. Stepanets

“…The most important conditions are considered and the main ways are analyzed to significantly increase the efficiency of modern vocational education while simultaneously improving its quality. The necessity of using adaptive educational technologies is   substantiated, the features of algorithmization of the adaptive learning process are shown in order to improve its quality, and ways of creating an effective model of the professional field for adaptive educational systems are  analyzed. …”
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Research on the effectiveness of data compression methods in relational and NoSQL DBMS by V. A. Egunov, V. S. Surin, P. S. Stupnitskiy, R. D. Akhmetova

“…Data compression in OpenSearch is more efficient than in MySQL when using standard algorithms. OpenSearch is an excellent choice if youneed to conserve storage resources while making optimal use of the processor, otherwise both systems will do the job well.…”
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Treatment Strategies and Prognostic Outcomes in Acute Limb Ischemia: A Systematic Review and Meta-Analysis Comparing Thrombolytic Therapy and Open Surgical Interventions by Mircea Cătălin Coșarcă, Nicolae Alexandru Lazăr, Suzana Vasilica Șincaru, Bogdan Corneliu Bandici, Eduard Costin Argatu, Cosmin Carașca, Ráduly Gergő, Dorin Constantin Dorobanțu, Cristian Trâmbițaș, Adrian Vasile Mureșan

“…Future research should focus on refining treatment algorithms, investigating novel thrombolytic agents, and expanding the role of minimally invasive techniques to improve long-term outcomes while mitigating complications such as bleeding and reperfusion injuries.…”
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An integrated machine learning and fractional calculus approach to predicting diabetes risk in women by David Amilo, Khadijeh Sadri, Evren Hincal, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohamed Hafez

“…We employ seven machine learning algorithms: Decision Tree, Logistic Regression, Support Vector Machine (SVM), Random Forest, Bagged Trees, Naive Bayes, and XGBoost, to identify key risk factors, with XGBoost demonstrating higher performance. …”
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Tofacitinib monotherapy as maintenance treatment in juvenile dermatomyositis: a case report by Enrique Calvo-Aranda, Delia Argüelles Balas, Estefanía Barral Mena, M Ángeles Martín Díaz

“…We present the case of a child with JDM who achieved sustained remission with tofacitinib monotherapy following the failure of previous therapies. While its use is currently restricted to refractory cases, these findings suggest its potential for earlier integration into treatment algorithms. …”
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OPTIMIZING KEYWORD SEARCH FOR SEARCH ENGINES USING BLOCKCHAIN TECHNOLOGY by Bharti Aggarwal, Dinesh Rai, Naresh Kumar

“…The traditional SEO landscape, reliant on algorithmic changes and privacy concerns, demands new solutions. …”
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Cluster mapping in Spain: Exploring the correlation between industrial agglomeration and regional performance by Rudy Fernández Escobedo, Begoña Eguía Peña, Leire Aldaz Odriozola

“…A six-step methodology is applied departing from cross-industry linkages and implementing clustering algorithms; one set of clusters is elected and mapped over territory. …”
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Improving Word Embedding Using Variational Dropout by Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo

“…In recent years, many post-processing algorithms have been proposed to improve the pre-trained word embeddings. …”
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CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT by Ahmad Abubakar Mustapha, Mohamed Sirajudeen Yoosuf

“…Our Proposed work is through the integration of IoT and machine learning algorithms, the device can detect and analyze facial emotions and weapons in crowded areas (among protesters), the model has been experimented and it achieved an mAP of 99.39% @0.50IOU while 98.69% @0.75IOU and overall mAP of 91.52%. …”
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Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes by Rebeka Anna Jáger, Géza Szabó

“…This encompasses not only the examination of conflict resolution algorithms but also the exploration of human–machine collaboration. …”
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ON TRAVERSABILITY COST EVALUATION FROM PROPRIOCEPTIVE SENSING FOR A CRAWLING ROBOT by Jakub Mrva, Martin Stejskal, Jan Faigl

“…This paper addresses the problem of traversability cost evaluation based on proprioceptive sensing for a hexapod walking robot while optimizing different criteria. We present several methods of evaluating the robot-terrain interaction that can be used as a cost function for an assessment of the robot motion that can be utilized in high-level path-planning algorithms.…”
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Advanced parameter tuning scheme for double CFO based fractional order composite controller synthesis method by Siyi Chen, Yang Shu, Haiyang Kuang, Dongqi Cheng, Ying Luo

“…This method sequentially employs D-decomposition and optimization algorithms to address these challenges. Finally, by comparing it with various algorithms. …”
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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

“…The paper reviews the use of machine learning algorithms in software defect prediction framework’s bug prediction while assessing their performance across multiple environments. …”
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Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach by Mohammed Aly, Mohamed H. Behiry

“…Abstract Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. …”
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Multi‐function radar work mode recognition based on residual shrinkage reconstruction recurrent neural network by Lihong Wang, Kai Xie

“…The network uses a Gated Recurrent Unit as its backbone to extract temporal features and enhances feature extraction by reconstructing the GRU's input, while also reducing dependence on clean samples. …”
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Harnessing Generative AI in Higher Education: Opportunities, Challenges, and Ethical Imperatives by R. Ravichandran, P. Sasikala

“…The paper also interrogates key ethical concerns, such as academic integrity, data privacy, algorithmic bias, and equity, while analysing current government initiatives aimed at responsible AI adoption. …”
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Artificial intelligence for smart irrigation: Reducing water consumption and improving agricultural output by Arlanova A. A., Hojamkuliyeva B. A., Babanazarov N. Sh., Arlanov M. S.

“…A mathematical model based on machine learning algorithms is developed to predict the optimal water volume required for irrigation of agricultural crops. …”
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SLR Systematic Literature Review: Metode Penilaian Kinerja Karyawan Menggunakan Human Performance Technology by Roni Habibi, Artha Glory Romey Manurung

“…The objective of this research is to review the literature that employs the Systematic Literature Review (SLR) method, while considering several aspects such as previous research on employee performance appraisal and human performance technology. …”
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A New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines by Mustafa COBAN, Gokhan GELEN

“…In the proposed method, while finite state machines are used to model the movement of automated guided vehicles in the environment, the Q-learning method, one of the most common reinforcement learning algorithms, is used for collision avoidance. …”
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AI-Enhanced Criminal Investigations and Ḥudūd Offenses: A Sharīʿah Compliance Framework by Abubakar Muhammad Jibril, Rabiu Abdulmudallib Bello, Abbas Abubakar

“…The model operates within Islamic legal doctrine, conforming to technological advancement while upholding the Qurʾān's overarching commitment to justice. …”
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