This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/21541513. Summary introducing a "neuro-subjective interactive (NSI) model" that attempts to bridge mental and physical phenomena while resolving causal overdetermination and physical causal closure. Major issues Methodological Critique Titles - Unclear Epistemological Status of "Continuity" as a Primary Analytical Tool - Inconsistent Application of Conditional Definitions - Selective and Decontextualized Use of Empirical Neuroscience - Equivocation Between Phenomenological and Physical Descriptions of Time - Overreliance on a Metaphysical Thought Experiment (Time-Travel AI Scenario) - Conflation of Biological Information Processing with Ontological Substance Dualism - Unaddressed Circularity in the Response to Physical Causal Closure Competing interests The author declares that they have no competing interests. Use of Artificial Intelligence (AI) The author declares that they did not use generative AI to come up with new ideas for their review.
Background Artificial intelligence (AI) has demonstrated promising performance in neonatal intensive care by supporting early prediction of acute conditions such as late-onset sepsis, necrotizing enterocolitis, apnea, and cardiorespiratory instability. However, existing neonatal…
This research introduces the Binary Dhole Optimization Algorithm (BDOA), a novel binary optimization method for feature selection problems inspired by the cooperative hunting behavior of dholes. Feature selection is an important task in machine learning because it can reduce comp…
Personalized learning is increasingly essential in higher education due to variations in student abilities, learning pace, and academic preparedness. This paper presents EduMentor-AI, a hybrid adaptive intelligence model designed to support personalized learning through the integ…
The application of Automated Machine Learning to infinite, high-velocity data streams represents a critical frontier in Big Data Science. Traditional hyperparameter optimization frameworks, such as grid search or Bayesian optimization, are inherently designed for static, batch-le…
ABSTRACT Across Nigeria's Fourth Republic, successive election cycles have been accompanied by the systematic circulation of manipulative political content, a problem that has deepened considerably with the emergence of Emotional Artificial Intelligence (EAI): computational syste…
ABSTRACT: The developed country will maintain all aspects advancement included in the three industrial ones like the first industry̖ second industry & tertiary one, specially in tertiary reformation and innovation can form the potential power which may increase the entire artific…