Academic Articles & Research Papers

Human Intelligence (HI –<i>Nous</i>) and Artificial Intelligence (AI) in ESP/EAP Teaching and Editing of Inter-Disciplinary Research for International Communication – Case Studies and Methods

In this study the author will present how Human Intelligence (HI – nous), in co-operation with Artificial Intelligence (AI) – Internet can communicate his/her knowledge and interdisciplinary research to an international context (i.e., Erasm...

HABBO (M)HOTEL - A Tale on Abstract Sex and Early Digital Girlhood Erotics

This paper proposes a media-archaeological exploration of early digital desire, focusing on the experiences of teenage girls and femme-identifying youth in the early 2000s Italian context. Situated against the patriarchal and hypersexualize...

Application of a Novel Multi-Agent Optimization Algorithm Based on PID Controllers in Stochastic Control Problems

The article considers the problem of finding the optimal on average control of the trajectories of continuous stochastic systems with incomplete feedback. This class of problems includes control problems in which the initial states are desc...

Grey matter volume associations with personality functioning in a clinical cohort of female youths

Borderline Personality Disorder (BPD) is a severe mental illness, although its neurobiological underpinnings remain largely unknown. Structural Magnetic Resonance Imaging (sMRI) in adolescents can offer insights into potential biomarkers to...

Robotics for Engineers

Robotics for engineers , Robotics for engineers , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی...

Innovations in repetitive transcranial magnetic stimulation: a review of clinical evidence and patient-reported outcomes for ExoTMS

IntroductionTranscranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique with demonstrated efficacy in the treatment of multiple psychiatric and neurological disorders. ExoTMS represents an evolution in TMS system des...

Human–Robot Interaction in Rescue Robotics

Rescue robotics has been suggested by a recent DARPA/NSF study as an application domain for the research in human-robot integration (HRI). This paper provides a short tutorial on how robots are currently used in urban search and rescue (USA...

Integrating Quantum Computing into De Novo Metabolite Identification

Tandem mass spectrometry (MS/MS) is a widely used technology for identifying metabolites. De novo metabolite identification is an identification strategy that does not refer to any spectral or metabolite database. However, this strategy is ...

Quantum Computing: Survey and Analysis

Functionally Accurate, Cooperative Distributed Systems

A new approach for structuring distributed processing systems, called functionally accurate, cooperative (FA/C), is proposed. The approach differs from conventional ones in its emphasis on handling distribution-caused uncertainty and errors...

Controlling chaos in distributed systems

A simple and robust procedure for freezing out chaotic behavior in systems composed of interacting agents making decisions based on imperfect and delayed information is described. It is based on a reward mechanism whereby the relative numbe...

Cybersecurity for Critical Infrastructures: Attack and Defense Modeling

Disruption of electric power operations can be catastrophic on national security and the economy. Due to the complexity of widely dispersed assets and the interdependences among computer, communication, and power infrastructures, the requir...

Natural Language Processing

Hints of the outbreak are detected through the modified circumstances favoring the outbreaks, like the warm weather contributing to epidermal outbreaks or the loss of sanitation leading to cholera outbreaks typically relying on the routine ...

Neural networks in process fault diagnosis

Fault detection and diagnosis is an important problem in process automation. Both model-based methods and expert systems have been suggested to solve the problem, along with the pattern recognition approach. A number of possible neural netw...

Neural networks for classification: a survey

Classification is one of the most active research and application areas of neural networks. The literature is vast and growing. This paper summarizes some of the most important developments in neural network classification research. Specifi...

Coalition of explainable artificial intelligence and quantum computing in precision medicine

This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...

An Organizational View of Distributed Systems

The relationship between organization theory and distributed systems is studied. By viewing distributed systems as analogous to human organizations, concepts and theories germane to the management science field of organization theory can be...

Cybersecurity and Cyberwar

Abstract Dependence on computers has had a transformative effect on human society. Cybernetics is now woven into the core functions of virtually every basic institution, including our oldest ones. War is one such institution, and the digita...

Understanding Customers' Opinion using Web Scraping and Natural Language Processing

The web offers large volumes of data that is unstructured and fails to be further processed if not extracted and organized into local variables or into databases. In this paper, we aim to extract data from the Internet using web scraping ...

Special Thematic Section on Semantic Models for Natural Language Processing (Preface)

With the availability of large language data online, cross-linked lexical resources (such as BabelNet, Predicate Matrix and UBY) and semantically annotated corpora (SemCor, OntoNotes, etc.), more and more applications in Natural Language Pr...