Aleksandar Karadimce

Macedonia University St. Paul the Apostle - Ohrid

Funding

Commented on Research, Development and Innovation Programme ICT 2023: ICT Technologies for the Digital Transformation of Industry
A new call has been released. Joint call with U.S. Department of Defense 2024: Future Information Architecture for IoT Call closes: 3 May 2024 at 23 Finnish time. https://www.aka.fi/en/research-funding/apply-for-funding/calls-for-applications/international-calls/joint-call-with-u.s.-department-of-defense-2024-future-information-architecture-for-iot/

Hub

Commented on AI influence on labour, work, (un)employment
Microsoft unveiled a significant skilling initiative in India, aiming to equip 2 million people with AI skills by 2025. The ADVANTA(I)GE INDIA initiative is part of Microsoft’s Skills for Jobs program, which is designed to empower India’s workforce with future-ready skills. The initiative is part of Microsoft’s broader commitment to accelerate India’s AI transformation. https://news.microsoft.com/en-in/microsoft-to-provide-ai-skilling-opportunities-to-2-million-people-in-india-by-2025/

Article

Commented on Digital Forensics AI: Evaluating, Standardizing and Optimizing Digital Evidence Mining Techniques
Forensics analysis can leverage machine learning models' pattern detection and identification ability to find buried evidence in digital artefacts that would have gone unnoticed if done manually. Numerous studies have proposed methods for integrating AI into digital forensics; nevertheless, scepticism over AI's opacity has hampered the domain's proper formalization and standardization. The authors describe three important tools required for the development of solid machine-driven digital forensics approaches in this research. They discuss several ways to test, standardise, and optimise artificial intelligence models used in digital forensics.

Hub

Commented on English as the international language of science
What do you think about this KOSYS language learning system neoos®? KOSYS training is distinguished by its use of passive listening via the skin® as well as brain-based learning and training methodologies. With a little gadget called neoos® and personalised material, you can save 80% of the time you would normally spend learning and training. Whether you wish to learn a new language, enhance your personality, or live a healthier lifestyle. All of this is currently feasible with neoos® technology. Every day, you strive to be the best version of yourself and further your personal development. https://www.ghu.edu.ai/artificial-intelligence

Webinar

Commented on Leveraging AI in Supply Chain Management: From Data to Delivery
This webinar will look at AI's current impact on supply chains as well as its intriguing future prospects. Dr. Eva Ponce, Executive Director of the MITx MicroMasters Program in SCM, and Dr. Edgar Blanco, VP of Supply Chain Strategy at Walmart, will talk about how AI is altering SCM, the keys to effective AI integration, and the value of human-AI collaboration. Gain useful insights regarding how to navigate problems and capitalize on opportunities in your supply chain.

Webinar

Commented on A New Era of Aviation: An Advanced Air Mobility Webinar
Advanced Air Mobility Milestones Advanced Air Mobility (AAM) refers to airplanes that are likely highly automated and electric. They are progressing well in certifying aircraft and pilots, planning their integration into the airspace, and coordinating worldwide. Here are some important milestones. https://www.faa.gov/air-taxis

Webinar

Commented on Research and development activities for a wearable brain-computer interface based on spontaneous brain activity measurement
It is a great book by authors that provides a comprehensive review of the primary EEG-based Brain-Computer Interface (BCI) paradigms, as well as practical solutions for their design, prototyping, and testing. Readers will learn about active, reactive, and passive BCI paradigms, focusing on the operation for generating solutions that fulfill the demand for customisation. https://www.routledge.com/Wearable-Brain-Computer-Interfaces-Prototyping-EEG-Based-Instruments-for/Arpaia-Esposito-Gargiulo-Moccaldi/p/book/9781032200859

Article

Commented on Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
In recent years, many researchers have been using the concept of machine learning to predict DM disease. Some of the commonly used algorithms include logistic regression (LR), XGBoost (XGB), gradient boosting (GB), decision trees (DTs), ExtraTrees, random forest (RF), and light gradient boosting machines (LGBM). Each classifier has its advantages over the other classifiers. However, the classifier that gives the highest accuracy is determined in implementation.

Article

Commented on Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers
Authors have used the ML technique based on risk stratification, which is developed, optimized and evaluated. Features are optimized using six feature selection techniques. Then, the PIMA Indian diabetes dataset (PIDD) is used. The ten different classifiers are used. Both RF selection and RF classification techniques yield an accuracy of 92.26%.

Journal

Commented on MOBILE NETWORKS & APPLICATIONS
EAI MLICOM 2024 - 9th EAI International Conference on Machine Learning and Intelligent Communications Conference on November 17-18, 2024 Conference web page https://mlicom.eai-conferences.org/2024/ All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Authors of selected papers will be invited to submit an extended version to: Mobile Networks and Applications (MONET) Journal [IF: 3.077 (2021)]

Hub

Commented on Conferences 2023-2024
EAI MLICOM 2024 - 9th EAI International Conference on Machine Learning and Intelligent Communications Full Paper Submission deadline 30 August 2024 Notification deadline 30 September 2024 Camera-ready deadline 20 October 202 Conference on November 17-18, 2024 All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH. Submit paper https://mlicom.eai-conferences.org/2024/

Hub

Commented on Impact of AI on Cybersecurity
Webinar, “Generative AI Unleashed: Reshaping the Future of Work” on 12 February, featuring a talk by Ben Ellencweig, Senior Partner at McKinsey & Company and Leader of QuantumBlack, AI by McKinsey, to explore the impact of Generative AI on work and industries. This session will delve into how this groundbreaking technology revolutionises business processes, enhances creativity, and drives operational efficiency across sectors while transforming financial services and decision-making. Discover practical applications, success stories, and future trends of Generative AI during this event, which is ideal for anyone eager to understand the role of AI in shaping the future of our workplaces, industries and financial systems. The presentation follows a Q&A session moderated by Dr. Sarah Hammer of The Wharton School. This live event includes a 15-minute networking event hosted on the AI for Good Neural Network. This is your opportunity to ask questions, interact with the panelists and participants and build connections with the AI for Good community. https://aiforgood.itu.int/event/generative-ai-unleashed-reshaping-the-future-of-work/

Article

Commented on Accurate and rapid screening model for potential diabetes mellitus
The authors evaluated the classifiers using nine clinical features that were easily collected and non-invasive. The J48 classifier performed the best, demonstrating that decision tree analyses can be used to promptly and accurately screen for diabetes in clinical practice. This work is critical in areas with high epidemic risk and low socioeconomic levels. The tree structure reveals the most significant risk factors and recommends that diabetes preventive programs be implemented through focused community interventions.

Article

Commented on A review of data mining applications in crime
This review is unusual in that it includes over 100 applications and is the most current and comprehensive review of Data Mining applications in crime to date. We find significant evidence based on the number of applications to conclude that classification techniques are the most used type of Data Mining in crime. The authors hope that this review study will assist academics throughout the world in quickly identifying existing studies, allowing them to develop more complicated and improved strategies for mining crime data in the future.

Article

Commented on Artificial Intelligence: The Future for Diabetes Care
An overview article on using AI for the management of diabetes AI has enhanced both patient transfer inside hospitals and patient flow to hospitals. Online diabetes communities and support groups allow patients to connect and learn from one another's experiences. Patients and caregivers find this collaborative approach to learning more about the disease to be interesting, and it has a good effect on the patient's well-being and desired results. AI is a cost-effective solution for reducing the ocular problems and avoidable blindness associated with diabetes by detecting diabetic retinopathy early. CGMs, or continuous glucose monitors, have the potential to lower the price of diabetic medical care.