Star-struck

Aleksandar Karadimce

Macedonia University St. Paul the Apostle - Ohrid

36 Papers
110 Following
49 Followers

Hub

Commented on Innovation & Technology Laboratory
Check the importance of phytoplankton and how AI is used to monitor it from space. https://youtu.be/jKrjyTaUjDM?si=nHdmder8SFYHMWDZ The speaker argues that phytoplankton is one of the most crucial organisms on Earth, even more important than bees or trees. It produces over 50% of the Earth's oxygen and supports many other UN sustainable development goals. Phytoplankton is microscopic and invisible to the naked eye, but it can be seen from space when it forms large blooms that change the colour of the water. The first device to categorize the colour of the water to understand phytoplankton distribution was developed 150 years ago. Recently, NASA launched a satellite called PACE to monitor phytoplankton specifically. The speaker is a Harvard data science student developing AI models to use PACE data to understand how phytoplankton's colours change the oceans' colour. This is important because different types of phytoplankton have different benefits. Some produce more oxygen, others feed fish, and some are toxic to humans.

Article

Commented on The rise of big data on cloud computing: Review and open research issues
The paper discusses security concerns related to data privacy, encryption, and compliance with regulatory requirements as critical challenges in cloud computing. Specifically, the paper highlights the importance of data privacy and legal/regulatory issues among the key research challenges and issues associated with big data in cloud environments.

Hub

Commented on Online networking events, workshops and grant opportunities
Fight the Drones: Submit Your Paper to the Anti-Drone Tech Workshop! (https://ictinnovations.org/) Calling all researchers and professionals! The "Innovations in Anti-Drone Technologies" workshop at the ICT Innovations 2024 conference invites submissions on the latest advancements in countering drone threats. Focus Areas: Object detection and classification using AI Recognizing new drone types (open set recognition) Explainable AI for transparent drone identification Tracking algorithms for single and multiple drones Jamming, spoofing, and other counter-drone measures Submission Types: Original research papers (up to 15 pages) Review articles Case studies Benefits of Publishing: Accepted full papers published in Springer's prestigious CCIS series (indexed in Web of Science, Scopus, etc.) Short papers and abstracts published online Important Dates: Submission Deadline: July 15, 2024 Acceptance Notification: August 1, 2024 Camera-Ready Papers Due: August 15, 2024 Workshop Date: September 28, 2024 https://ictinnovations.org/workshop/workshop-innovations-anti-drone-tech

Hub

Commented on PhD & research positions
EU TalentOn 2024: Calling Young European Researchers ([https://eutalenton2024.eu/]) The University of Silesia invites young scientists (aged 21-35) from across Europe to participate in EU TalentOn 2024, a competition designed to spark creative solutions to global challenges. Work collaboratively on pressing issues: Teams will focus on one of five scientific areas aligned with the EU's Horizon Europe Missions: climate change, cancer, ocean health, sustainable cities, and soil conservation. Interdisciplinary approaches are encouraged, with input welcome from all scientific and humanities fields. Competition highlights: Cash prizes: Winners will receive a share of €75,000. Fully-funded participation: The European Commission will cover travel, accommodation, and meals for the competition held in Katowice, Poland (September 9-14, 2024). Flagship event: EU TalentOn is a key event celebrating Katowice as the 2024 European City of Science. Don't miss out! Apply by July 7th, 2024. Visit the competition website for full details and the application form: https://eutalenton2024.eu/

Hub

Commented on Mental health
Neuronestics is a company developing AI neurotwins to improve neuromodulation treatments for mental health disorders. Neurotwins are digital copies of a patient's brain created with the help of AI. The company believes that these neurotwins can be used to personalize treatment for patients with epilepsy and depression. The speaker, Ana M., who is the CEO of Neuronestics, explains that epilepsy and depression are caused by disruptions in the brain's electrical activity. Neuronestics' neuro twin technology uses AI to create a model of a patient's brain based on their MRI and EEG data. This model can then simulate the effects of different neuromodulation treatments, such as transcranial direct current stimulation (tDCS). https://youtu.be/XP-FN-_hAFM?si=a63O9LS6M_LlYFI9 Neuronestics has conducted clinical trials of its neuro-twin technology for epilepsy and depression. In the epilepsy trial, the technology reduced seizures by 44%. In the depression trial, the technology reduced depression symptoms by 63.6%.

Article

Commented on Grafting for combinatorial binary model using frequent itemset mining
The article combines logic and machine learning to explore Combinatorial Binary Models (CBMs) for interpretable predictions. CBMs struggle with complex data due to the high computational cost of learning from long combinations of binary attributes. The authors introduce GRAB, a novel algorithm leveraging frequent itemset mining to learn CBMs efficiently. Experiments show that GRAB tackles complex data and achieves good prediction accuracy while providing valuable insights from the data.

Hub

Commented on Environmental Science
This video is about applying AI technologies to empower smart city development. https://youtu.be/Ftv-5Kj0M3M?si=8r8UmE-DAv6jV1rw The speaker, Jinang from China Unicon, discusses how AI can improve various aspects of city life, including public services, transportation, and safety. Jinang outlines four important goals for smart city development: Inclusiveness: AI solutions should be designed to be accessible and beneficial to all residents, regardless of age, ability, or socioeconomic status. Safety: AI can be used to improve public safety by automating tasks such as traffic accident detection and emergency response. Resilience: AI can be used to make cities more resilient to natural disasters and other disruptions. Sustainability: AI can be used to optimize resource use and promote environmental sustainability.

Article

Commented on An Overview of Data Warehouse and Data Lake in Modern Enterprise Data Management
The article discusses data warehouses and data lakes. It highlights the challenges of storing big data and explores two common storage solutions: data warehouses and data lakes. Data warehouses store structured, filtered data for specific purposes, while data lakes store raw, unfiltered data. Businesses can choose between cloud-based or on-premises storage for their data warehouse. Some important considerations for designing a data warehouse include user needs, data modelling, and choosing a standard architecture.

Article

Commented on Pulse Pattern Optimization Based on Brute Force Method for Medium-Voltage Three-Level NPC Converter with Active Front End
This research proposes a new method for optimizing pulse patterns in a 3-level NPC Active Front-End (AFE) converter using Selective Harmonic Elimination (SHE-PWM). Unlike other techniques, this Brute-Force (BF) approach tackles two goals: eliminating unwanted low-order harmonics while minimizing specific higher-order ones. It also considers practical limitations like minimum switching times and maintaining a smooth pulse pattern. Compared to other methods, the BF algorithm achieves better results in reducing higher-order harmonics and following constraints. Finally, successful implementation in a low-voltage converter setup validates the approach, suggesting its potential for future use in medium-voltage systems.

Hub

Commented on AI & your research work
AI-driven lawtech startups. It discusses legal tech and the rise of alternative legal services. AI startups are transforming due diligence, legal document scanning, and predictive analytics. Some fear job losses in the legal sector, but others believe AI will make lawyers more efficient. See how they are https://outsideinsight.com/insights/4-ai-driven-lawtech-startups-changing-the-legal-landscape/

Article

Commented on Clustering of nonstationary data streams: A survey of fuzzy partitional methods
This research explores using fuzzy models for clustering constantly changing data (data streams). While fuzzy models aren't perfect (adapting to data shifts and rejecting outliers can be tricky), some methods within this framework can continuously cluster data streams. The possibilistic model shows particular promise. With proper training, it can track changes in the data while staying resistant to outliers, making it robust for this task.

Hub

Commented on AI models & tools ChatGPT, Bing, Gemini
Ada Lovelace's reimagination is about a live performance using generative AI to tell a story. The speaker, Marco Tempest, uses a laptop and a camera to create a real-time storytelling collaboration with AI. The story is about Ada Lovelace, a mathematician and visionary who believed that machines could be used to create art. The video https://youtu.be/0ADkO-9Xo7g?si=5DYmXzsIYoPRxN0m offers a comprehensive explanation.

Article

Commented on Genetic algorithms for clustering and fuzzy clustering
This research explores genetic clustering methods for classifying satellite images. It compares fixed and automatic cluster number approaches, focusing on a method using "centre-based chromosomes." While effective, this method favours simple-shaped clusters. The paper proposes future directions: Symmetry-aware distance measures for better cluster identification. Addressing computational challenges in high-dimensional data. Applying fuzzy clustering for more robust classification, especially for pixels with uncertain class membership (common at image boundaries).

Hub

Commented on AI in education, teaching, learning
Giga uses AI and machine learning to identify schools in satellite imagery. They are able to achieve over 90% accuracy using this method.  https://youtu.be/SPmthpl4tHI?si=tpraEIFvOlA8krYS

Article

Commented on Scattering universality classes of side jump in the anomalous Hall effect
This research examines how the arrangement of disordered spins affects a specific electrical property called anomalous Hall conductivity. They propose three distinct categories for scattering processes based on their influence on this conductivity. Each category has a unique signature. When a material experiences multiple types of scattering, the overall effect depends on the relative strengths of each. The study emphasizes that this classification scheme can be applied to various scattering mechanisms found in real materials. Interestingly, they discovered that magnon scattering (a specific type) has a different impact than typical impurity or phonon scattering. Additionally, this influence can be adjusted by factors like temperature.
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