Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing
In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …
[HTML][HTML] Unveiling the black box: a systematic review of Explainable Artificial Intelligence in medical image analysis
D Muhammad, M Bendechache - Computational and structural …, 2024 - Elsevier
This systematic literature review examines state-of-the-art Explainable Artificial Intelligence
(XAI) methods applied to medical image analysis, discussing current challenges and future …
(XAI) methods applied to medical image analysis, discussing current challenges and future …
Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence
The estimation of water depth in coastal areas and shallow waters is crucial for marine
management and monitoring. However, direct measurements using fieldwork methods can …
management and monitoring. However, direct measurements using fieldwork methods can …
Responsible ai for earth observation
P Ghamisi, W Yu, A Marinoni, CM Gevaert… - ar** of gully erosion susceptibility using an efficient metaheuristic neural network
Develo** a susceptibility map is a crucial primary step for dealing with undesirable natural
phenomena, gully erosion included. On the other hand, recent computational progress call …
phenomena, gully erosion included. On the other hand, recent computational progress call …
Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia's mountainous terrain: a Bayesian-optimised deep learning approach with …
In the mountainous region of Asir region of Saudi Arabia, road construction activities are
closely associated with frequent landslides, posing significant risks to both human life and …
closely associated with frequent landslides, posing significant risks to both human life and …
Applications of Explainable artificial intelligence in Earth system science
In recent years, artificial intelligence (AI) rapidly accelerated its influence and is expected to
promote the development of Earth system science (ESS) if properly harnessed. In …
promote the development of Earth system science (ESS) if properly harnessed. In …
Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy
Artificial Intelligence (AI) integration in healthcare is revolutionizing medical analysis and
disease prediction, enhancing diagnostic accuracy and patient care. However, with the …
disease prediction, enhancing diagnostic accuracy and patient care. However, with the …