The accurate diagnosis of aging-related neurocognitive disorders as early as possible, even in a phase that is characterized by the absence of clinical symptoms, is nowadays the holy grail of the neurosciences. R4Alz-R is a novel cognitive tool designed to objectively detect the subtle cognitive changes that emerge as the Read more…
In this work we explore the application of deep reinforcement learning (DRL) in navigating autonomous vehicles (AVs) within dynamic environments, aiming to optimize fuel efficiency without compromising safety or operational reliability. Focusing on the intricate balance between real-time decision-making and energy conservation, a DRL model was developed that efficiently manages Read more…
Code readability is critical to software development and has a significant impact on maintenance and collaboration in evolving technology landscapes. With the increasing complexity of projects and the diversity of developers’ coding styles, the need for automated tools to improve code readability has become more apparent. This paper presents an Read more…
The availability of code snippets in online repositories like GitHub has led to an uptick in code reuse, this way further supporting an open-source component-based development paradigm. The likelihood of code reuse rises when the code components or snippets are of high quality, especially in terms of readability, making their Read more…
In today’s world, multimodal data and sensing technologies have emerged as crucial components within the Internet of Things (IoT) and artificial intelligence (AI) paradigms, influencing multiple fields, from healthcare to industry, media, education, robotics, transportation, and environmental monitoring, shaping broader multidisciplinary research and application projects. Due to time, location and Read more…
Another dementia-related publication is out, named “R4Alz-Revised: A Tool Able to Strongly Discriminate ‘Subjective Cognitive Decline’ from Healthy Cognition and ‘Minor Neurocognitive Disorder’”. The aim of the current study is the R4Alz battery’s extension (namely R4Alz-R), enhanced by the design and administration of extra episodic memory tasks, as well as Read more…
A new article has been published in the Journal of Intelligent & Robotic Systems, titled “Pose Selection and Feedback Methods in Tandem Combinations of Particle Filters with Scan-Matching for 2D Mobile Robot Localisation”. This article enhances the Monte Carlo Localization algorithm by disregarding low-weight particles, incorporporating scan-matching techniques, and adopting Read more…
A new publication named “Is the Discrimination of Subjective Cognitive Decline from Cognitively Healthy Adulthood and Mild Cognitive Impairment Possible? A Pilot Study Utilizing the R4Alz Battery” has been published in the Journal of Alzheimer’s Disease. The abstract of the publication follows: Background: The early diagnosis of neurocognitive disorders before Read more…