Results 91 to 100 of about 24,617 (284)

Transformative impact of explainable artificial intelligence: bridging complexity and trust

Discover Artificial Intelligence
Artificial Intelligence and Deep Learning have gained widespread popularity in all sectors and industries from healthcare to finance and industrial management.
Girish Paliwal, Ashish Kumar, Kanta Prasad Sharma, Deepshika Bhargava, Vijay Mohan Shrimal   +4 more
doaj   +1 more source

Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI) [PDF]

, 2023
Barnaby Crook, Maximilian Schlüter, Timo Speith   +2 more
openalex   +1 more source

eXplainable Artificial Intelligence (XAI) in aging clock models

Ageing Research Reviews
eXplainable Artificial Intelligence (XAI) is a rapidly progressing field of machine learning, aiming to unravel the predictions of complex models. XAI is especially required in sensitive applications, e.g. in health care, when diagnosis, recommendations and treatment choices might rely on the decisions made by artificial intelligence systems.
Alena Kalyakulina, Igor Yusipov, Alexey Moskalev, Claudio Franceschi, Mikhail Ivanchenko   +4 more
openaire   +3 more sources

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Explainable machine learning methods to predict postpartum depression risk

Systems Science & Control Engineering
Postpartum depression (PPD) is a type of depression that mothers have following childbirth due to hormonal changes, psychological transition to parenting, and exhaustion. This depression strikes either during/or in the first year following childbirth. It
Susmita Shivaprasad, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga P, Swathi K S   +5 more
doaj   +1 more source

Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet‐of‐things (IOT) and point‐of‐care testing (POCT) devices

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract The integration of artificial intelligence (AI) into healthcare is accelerating and maternity care is at a pivotal moment for the strategic implementation of these technologies. This article explores how AI‐assisted women's health innovations, often termed “FemTech,” may transform pregnancy care by addressing long‐standing disparities ...
Lin Foo, Mahesh Choolani, Aris Papageorghiou, Hema Divakar, Hassan Shehata, Nir Melamed, Gabriel Jones, Vyta Senikas, Eline M. Van der Beek, Nandita Palshetkar, Gabrielle Saccone, Vincenzo Berghella, Justin Konje, Bhaskar Bhatt, Augusto Cam, Moses Obimbo, Anne Beatrice Kihara, Moshe Hod   +17 more
wiley   +1 more source

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey

IEEE Access
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies.
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. De Albuquerque   +7 more
doaj   +1 more source

Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy [PDF]

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceAs artificial intelligence is increasingly deployed in democracies around the ...
Encarnação, Marta Sofia Marques da
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