Mahardhika Pratama
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Source-Free Cross-Domain Continual Learning Open
Although existing cross-domain continual learning approaches successfully address many streaming tasks having domain shifts, they call for a fully labeled source domain hindering their feasibility in the privacy constrained environments. T…
Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models Open
The black-box domain adaptation (BBDA) topic is developed to address the privacy and security issues where only an application programming interface (API) of the source model is available for domain adaptations. Although the BBDA topic has…
View article: OPTIMIZING THE USE OF ARTIFICIAL INTELLIGENCE FOR THE CREATION OF PROMOTIONAL CONTENT AND LEARNING IN THE BOARDING SCHOOL
OPTIMIZING THE USE OF ARTIFICIAL INTELLIGENCE FOR THE CREATION OF PROMOTIONAL CONTENT AND LEARNING IN THE BOARDING SCHOOL Open
Darul Ittihad Islamic Boarding School (Pondok Pesantren Darul Ittihad), as a traditional educational institution, faces challenges in optimizing the use of information technology, particularly Artificial Intelligence (AI), for the developm…
Multi-agent reinforcement learning for resources allocation optimization: a survey Open
Multi-Agent Reinforcement Learning (MARL) has become a powerful framework for numerous real-world applications, modeling distributed decision-making and learning from interactions with complex environments. Resource Allocation Optimization…
Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation Open
Despite the progress in cross-domain few-shot learning, a model pre-trained with DINO combined with a prototypical classifier outperforms the latest SOTA methods. A crucial limitation that needs to be overcome is that updating too many par…
Reception of Qur'anic Verses in the Practice of Penglaris in the Local Economy Context: A Study in Sungai Penuh City Open
This study critically investigates the practice of using Qur’anic verses as “penglaris” (sales enhancers) within the local economic context of Sungai Penuh City, Jambi. Adopting the Living Qur’an framework and reception theory, and integra…
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning Open
The data privacy constraint in online continual learning (OCL), where the data can be seen only once, complicates the catastrophic forgetting problem in streaming data. A common approach applied by the current SOTAs in OCL is with the use …
Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review Open
Multi-Agent Reinforcement Learning (MARL) has shown clear effectiveness in coordinating multiple agents across simulated benchmarks and constrained scenarios. However, its deployment in real-world multi-agent systems (MAS) remains limited,…
UI/UX design thinking adoption for integrated AI point-of-sale system (Case study: Plastic Poultry Wholesale Store) Open
The development of artificial intelligence (AI) technology drives the need for a point of sales (POS) system that is not only efficient, but can also provide adaptive information according to the user's sudden wishes. This research impleme…
Student Expression Detection Based on Facial Image Using Convolutional Neural Network (CNN) Open
The widespread adoption of electronic learning (e-learning) in higher education has brought significant changes to how knowledge is delivered. Despite its advantages, many implementations remain focused solely on content dissemination, oft…
Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study Open
The exponential growth of Low Earth Orbit (LEO) satellites has revolutionised Earth Observation (EO) missions, addressing challenges in climate monitoring, disaster management, and more. However, autonomous coordination in multi-satellite …
Strategy of use Artificial Intelligence for optimization and stability cake business seasonal “Case study on small-medium scale model BR company” Open
Artificial Intelligent (AI) is the solution to problem. The objective of this research to identify SWOT factors to recommend the right type of AI to use. The method used descriptive qualitative, with SWOT analysis technique. The results sh…
Onboard Optimization and Learning: A Survey Open
Onboard learning is a transformative approach in edge AI, enabling real-time data processing, decision-making, and adaptive model training directly on resource-constrained devices without relying on centralized servers. This paradigm is cr…
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Open
Multi-Agent Reinforcement Learning (MARL) has become a powerful framework for numerous real-world applications, modeling distributed decision-making and learning from interactions with complex environments. Resource Allocation Optimization…
Application of Fuzzy Logic to Determine Gonad Maturity Level Based on Patin Fish Parent Morphology Open
The fish gonad maturity detector uses fuzzy logic to provide information about the level of gonad maturity accurately. The utilization of fuzzy logic in determining the level of maturity of catfish gonads offers significant advantages over…
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning Open
Data scarcity significantly complicates the continual learning problem, i.e., how a deep neural network learns in dynamic environments with very few samples. However, the latest progress of few-shot class incremental learning (FSCIL) metho…
STABILITY ANALYSIS OF EMBANKMENT SOIL SLOPES IN THE INTERNATIONAL SCHOOL PROJECT Open
The construction of an international school in the Jakarta Garden City area requires additional embankment soil, which creates a potential landslide risk due to elevation differences. This study aims to recalculate the safety of the slope …
Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification Open
Alzheimer’s disease (AD) is a progressive neurological disorder and the leading cause of dementia, accounting for 60-80% of cases. Early detection of AD is crucial for timely intervention, as the disease significantly impacts cognitive fun…
Spider Diversity in Potato Plants Applied with Some Concentrations of Botanical Pesticides Virginia Tobacco Stem Waste Open
This study aims to determine the effect of applying various concentrations of botanical pesticides derived from Virginia tobacco stem waste on the diversity of spiders in potato plants. The research was conducted in Sembalun Bumbung Villag…
Edge Computing-Based Monitoring of Mosquito Breeding Grounds Using the Flatten Method and Neural Network Classifier Open
The increasing prevalence of dengue hemorrhagic fever in densely populated urban areas of Indonesia highlights the urgent need for effective mosquito breeding site monitoring. Traditional methods, such as manual inspection and larvicide ap…
Characterization And Standardization Of Scoby (Symbiotic Culture of Bacteria and Yeast) Fermentation Using Mango Leaves (Mangifera Indica L.) As A Raw Material for Topical Applications Open
Background: Fermentation using SCOBY (Symbiotic Culture of Bacteria and Yeast) represents an innovative bioprocess with significant potential for producing active ingredients suitable for topical applications. In this study, mango leaves (…
Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations Open
The issue of source-free time-series domain adaptations still gains scarce research attentions. On the other hand, existing approaches rely solely on time-domain features ignoring frequency components providing complementary information. T…
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning Open
Federated Class Incremental Learning (FCIL) is a new direction in continual learning (CL) for addressing catastrophic forgetting and non-IID data distribution simultaneously. Existing FCIL methods call for high communication costs and exem…
View article: The Effect of Giving Various Doses of Cow Manure On The Growth of Rattan Stem Seedlings (Calamus Zollingeri Becc) In Polybags
The Effect of Giving Various Doses of Cow Manure On The Growth of Rattan Stem Seedlings (Calamus Zollingeri Becc) In Polybags Open
The fulfillment of rattan needs in the future will continue to increase, and it is estimated that rattan sources from natural forests will not be able to provide sufficient quantities. Therefore, rattan development is still needed, especia…
Graph Mining under Data scarcity Open
Multitude of deep learning models have been proposed for node classification in graphs. However, they tend to perform poorly under labeled-data scarcity. Although Few-shot learning for graphs has been introduced to overcome this problem, t…
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification Open
A continual learning (CL) model is desired for remote sensing image analysis because of varying camera parameters, spectral ranges, resolutions, etc. There exist some recent initiatives to develop CL techniques in this domain but they stil…
Few-shot class incremental learning via robust transformer approach Open
Few-Shot Class-Incremental Learning (FSCIL)presents an extension of the Class Incremental Learning (CIL)problem where a model is faced with the problem of data scarcity while addressing the Catastrophic Forgetting (CF)problem. This problem…