Nothing is Inevitable but Class Struggle: A Workerist Perspective on AI Regulation by Alexandros Minotakis, Antonis Faras

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“DTH 1.0”: TOWARDS AN ARTIFICIAL INTELLIGENCE DECISION SUPPORT SYSTEM FOR GEOGRAPHICAL ANALYSIS OF HEALTH DATA by Dimitris KAVROUDAKIS, Phaedon C. KYRIAKIDIS

“… The complexity of modern scientific research requires advanced approaches to handle and analyse rich and dynamic data. …”
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“Am I Being Silenced by a Machine?” AI-Driven Content Moderation and The Chilling Effect on Freedom of Expression by Ramalina Ranaivo Mikea Manitra

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A Blending Ensemble Approach to Predicting Student Dropout in Massive Open Online Courses (MOOCs) by Muhammad Ricky Perdana Putra, Ema Utami

“…The use of ML does not escape the problem of prediction performance that is still less accurate so it needs to be improved by blending ensemble learning (BEL). This research builds a BEL model consisting of two layers including base model with KNN, Decision Tree, and Naïve Bayes algorithms, then meta model with XGBoost. …”
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Peasantry of Southern Russia in 1920s by I. A. Khronova

“…The question of the attitude of the peasantry to socialist modernization, the relevance of which is due to the fact that historically the south of Russia set one of the general algorithms of scientific search in studying the problems of this area is considered. …”
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Advances on whole genome sequencing in Triticeae by KUANG Liuhui, LI Qi, ZHANG Guoping

“…With the rapid development of third-generation long read sequencing technologies and assembly algorithms designed for complex genomes, and also the falling cost of genome sequencing in recent years, more and more Triticeae species have been successfully sequenced. …”
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Assessing seventh-grade students' computational thinking skills through problem-based learning: Focus on integer addition and subtraction by Hapizah Hapizah, Anadia Muli Mariela, Budi Mulyono

“…The research involved 28 seventh-grade students from SMP Negeri 54 Palembang during the first semester of the 2023/2024 academic year. …”
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AI-Powered systematic reviews in public and occupational health: Opportunities and ethical challenges by Francesco CHIRICO

“…The exponential growth of scientific literature presents significant challenges for researchers conducting systematic reviews and meta-analyses, particularly in public and occupational health. …”
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The Evolution of Portfolio Theory: Integrating Machine Learning with Markowitz Optimization by Xu Junhao

“…The research also shows that ML can enhance Sharpe ratios in specific market conditions compared to conventional MPT. …”
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Speech Emotion Recognition Based on Voice Fundamental Frequency by Teodora DIMITROVA-GREKOW, Aneta KLIS, Magdalena IGRAS-CYBULSKA

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Extracting book titles from book recommendation videos using a deep learning approach by Hamit Erdem, Bartu Sarımehmetoğlu

“…Extracting text from images and videos is an emerging field of research with a wide range of applications, including video search, video editing, and translation. …”
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WaveConstLib: A java library for signal analysis and wavelet construction by Çağla Sarvan Cibil, Nalan Özkurt

“…Unlike traditional methods, WaveConstLib employs multi-objective evolutionary algorithms (MOEAs) optimization to construct signal-specific wavelet functions, ensuring superior adaptability and performance. …”
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Use of Levosimendan in Cardiac Anesthesiology by L. A. Krichevsky, V. Yu. Rybakov, O. G. Guseva, I. E. Kharlamova, A. Yu. Lyamin

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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers by Jüri Reimand, Gary D Bader

“…This study demonstrates new ways of interpreting cancer genomes and presents new leads for cancer research.…”
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“DTH 1.0”: TOWARDS AN ARTIFICIAL INTELLIGENCE DECISION SUPPORT SYSTEM FOR GEOGRAPHICAL ANALYSIS OF HEALTH DATA by Dimitris KAVROUDAKIS, Phaedon C. KYRIAKIDIS

“… The complexity of modern scientific research requires advanced approaches to handle and analyse rich and dynamic data. …”
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AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development by Petar Radanliev

“…Addressing these issues is essential for the responsible development and deployment of AI systems. This research establishes a comprehensive ethical framework that mitigates biases and promotes accountability in AI technologies. …”
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Phenomenal Approach to Transpassibility in Relation to AI by Philippe Boisnard

“…Transvergence would then be the possibility, for human consciousness, to observe a form of algorithmic generation, which would be detached from its point of view. …”
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Mineral-Pore Integration: A new perspective by Shuheng Du

“…To bridge this gap, we propose the development of quantitative discrimination models using machine learning algorithms to decode mineral-pore coupling mechanisms. …”
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Content curation and journalism: exploratory scoping review and expert opinion by Carlos Lopezosa, Javier Guallar, Lluís Codina, Mario Pérez-Montoro

“…Research content notably included studies on content curation and new journalistic formats, curation on social media and online tools, algorithmic curation and content curation and misinformation. …”
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An optimized elliptic curve digital signature strategy for resource-constrained devices by Nawras H. Sabbry, Alla Levina

“…Abstract Ensuring robust security in resource-constrained environments, such as microcontrollers used in Unmanned Vehicle systems (UVS), poses significant challenges due to the computational and memory demands of cryptographic algorithms. This research addresses these challenges by proposing an optimized ECC digital signature method designed for such environments. …”
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