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The Political Economy of Sanctions on Iran: Mechanism Design and Agent-Based Modeling Approach

Kobra Sangari Mohazzab, Hosein Raghfar, Mir-Hossein Mousavi, Mohammad Reza Asghari Oskoei • فصلنامه پژوهش‌های اقتصادی ایران (2020)

I International relations are full of complexities due to their multifaceted and multilateral nature. To understand decision making processes and the payoffs of their strategies, players are enabled to utilize their capabilities to impact t...

DOAJ Open Access (DOAJ) DOI: 10.22054/ijer.2020.11909

The Impact of Artificial Intelligence on Innovation

Iain Cockburn, Rebecca M. Henderson, Scott Stern • National Bureau of Economic Research (2018)

Artificial intelligence may greatly increase the efficiency of the existing economy.But it may have an even larger impact by serving as a new general-purpose "method of invention" that can reshape the nature of the innovation process and th...

OPENALEX public-domain DOI: https://doi.org/10.3386/w24449

Emergentist View on Generative Narrative Cognition: Considering Principles of the Self-Organization of Mental Stories

Taisuke Akimoto • Advances in Human-Computer Interaction (2018)

We consider the essence of human intelligence to be the ability to mentally (internally) construct a world in the form of stories through interactions with external environments. Understanding the principles of this mechanism is vital for r...

DOAJ Open Access (DOAJ) DOI: 10.1155/2018/6780564

Raman Spectroscopy Pre-Trained Encoder: A Self-Supervised Learning Approach for Data-Efficient Domain-Independent Spectroscopy Analysis

Abhiraam Eranti, Yogesh Tewari, Rafael Palacios, Amar Gupta • IEEE Access (2026)

Deep-learning methods have boosted the analytical power of Raman spectroscopy, yet they still require large, task-specific, labeled datasets and often fail to transfer across application domains. The study explores pre-trained encoders as a...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3672109

The Promise of Artificial Intelligence

Brian Cantwell Smith • The MIT Press eBooks (2019)

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere...

OPENALEX DOI: https://doi.org/10.7551/mitpress/12385.001.0001

Optimized CNN-BiLSTM framework for reactive power management and voltage profile improvement in renewable energy based power grids

Lijo Jacob Varghese, Suma Sira Jacob, Jaisiva Selvaraj, Tefera Mekonnen Azerefegn • Scientific Reports (2025)

Abstract This article describes a method for improving power grid voltage profiles by more effectively regulating reactive power through the integration of hybrid renewable energy systems (HRES) in smart grids. The unpredictable nature of r...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-24751-9

ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities

Shangzhe Sun, Chi Chen, Bisheng Yang, Zhengfei Yan et al. • Drones (2024)

The global rise in electricity demand necessitates extensive transmission infrastructure, where insulators play a critical role in ensuring the safe operation of power transmission systems. However, insulators are susceptible to burst defec...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8070299

Artificial intelligence in oncology

Hideyuki Shimizu, Keiichi I. Nakayama • Cancer Science (2020)

Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature...

OPENALEX cc-by-nc DOI: https://doi.org/10.1111/cas.14377 PMC: 7226189

Artificial intelligence in retina

Ursula Margarethe Schmidt-Erfurth, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein et al. • Progress in Retinal and Eye Research (2018)

Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.preteyeres.2018.07.004

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Ratupaskatiye Gedara Gunaratnege Roshan Pradeep, Yovanthi Anurangi Jayasinghe et al. • Cancer Reports (2024)

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...

DOAJ Open Access (DOAJ) DOI: 10.1002/cnr2.2045

Bayesian Artificial Intelligence

Kevin B. Korb, Ann E. Nicholson • Chapman & Hall/CRC eBooks (2003)

As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in m...

OPENALEX DOI: https://doi.org/10.1201/9780203491294

Demand response potential evaluation based on feature fusion with expert knowledge and multi‐image

Jiale Liu, Xinlei Cai, Zijie Meng, Xin Jin et al. • IET Smart Grid (2024)

Abstract Potential evaluation to assist demand response decisions has garnered significant attention with the development of new power systems. However, existing data‐driven methods are challenging to properly exploit multivariate features ...

DOAJ Open Access (DOAJ) DOI: 10.1049/stg2.12182

Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Tong Liu, Xueping Gu, Shaoyan Li, Yansong Bai et al. • IET Renewable Power Generation (2023)

Abstract The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy. Thus, this paper proposes a static voltage stability margin predic...

DOAJ Open Access (DOAJ) DOI: 10.1049/rpg2.12731

Global impact of benthic denitrification on marine N<sub>2</sub> fixation and primary production simulated by a variable-stoichiometry Earth system model

N. Li, C. J. Somes, A. Landolfi, C.-T. Chien et al. • Biogeosciences (2024)

Nitrogen (N) is a crucial limiting nutrient for phytoplankton growth in the ocean. The main source of bioavailable N in the ocean is delivered by N2-fixing diazotrophs in the surface layer. Since field observations of N2 fixation are spatia...

DOAJ Open Access (DOAJ) DOI: 10.5194/bg-21-4361-2024

Comparative Evaluation of Radio Network Planning for Different 5G-NR Channel Models on Urban Macro Environments in Quito City

Valdemar Ramon Farre Guijarro, Jose David Vega Sanchez, Martha Cecilia Paredes Paredes, Felipe Grijalva Arevalo et al. • IEEE Access (2024)

The 5th-Generation New Radio (5G-NR) network have been widely deployed around the world in the frequency range 1/range 2 bands. Once specific frequency bands within these ranges can vary across different countries and regions due to regulat...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3350182

InsDD-YOLO: Detection of Transmission Line Insulator Damage Based on the Improved YOLOv13 Model

Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Ha T. Tran et al. • IEEE Access (2025)

Amidst the rapid global expansion of smart grids, ensuring the safety and reliability of power transmission systems has become paramount. Insulators are critical components of high-voltage transmission lines, providing both electrical insul...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3648259

Structural Features Promoting Photocatalytic Degradation of Contaminants of Emerging Concern: Insights into Degradation Mechanism Employing QSA/PR Modeling

Antonija Tomic, Marin Kovacic, Hrvoje Kusic, Panaghiotis Karamanis et al. • Molecules (2023)

Although heterogeneous photocatalysis has shown promising results in degradation of contaminants of emerging concern (CECs), the mechanistic implications related to structural diversity of chemicals, affecting oxidative (by HO•) or reductiv...

DOAJ Open Access (DOAJ) DOI: 10.3390/molecules28062443