Haematococcus pluvialis is a freshwater microalga renowned as one of the most potent natural producers of astaxanthin, a carotenoid with strong antioxidant properties. This microalga undergoes a distinct life cycle, transitioning between green (vegetative) and red (resting) phases, with astaxanthin accumulation occurring predominantly under stress conditions such as high light intensity, nutrie…
Arabic diacritization is the task of adding diacritical marks to Arabic text to aid correct articulation, resolve lexical ambiguity, and support downstream natural language processing tasks. This study proposes a hybrid deep learning architecture that augments a pre-trained transformer encoder (AraBERTv02) with a sequential prediction head built on either a Bidirectional Long Short-Term Memory …
Efficient systems tailored to countries with bilingual license plates remain scarce, and existing methods often struggle to adapt the unique challenges posed by these scenarios. Countries like Bangladesh and India face challenges with the existing techniques. Accurate recognition of bilingual license plates is crucial for traffic management, but conventional methods with limited resources often…
Sea turtle monitoring is crucial for maintaining ecosystem balance, although traditional methods are costly and inefficient. Object detection provides a foundation for autonomous monitoring by localizing sea turtles in their natural habitat. At the same time, recent deep learning models can operate in real-time. On the other hand, underwater detection remains challenging due to extreme illumina…
Few-shot text classification is a challenging problem in natural language processing. Models have to generalize from a small number of labeled examples. This paper investigates the effectiveness of data augmentation methods (back-translation, paraphrasing, and noise injection) on overfitting prevention and generalization enhancement in few-shot scenario for small transformer models such as Dist…
Dams are a very important infrastructure because they are one of the main water and electricity supplies for most countries; However, it is susceptible to demolition due to several factors such as aging and floods. This not only causes damage to water supplies and economical loss, but also human lives. And with the current climate change and global warming, heavy rainfalls and storms leading to…
User-generated reviews are an important source of information for e-commerce recommendation systems. However, reviews may contain conflicting opinions across product aspects such as quality, price, and delivery, which can weaken both review-level trust and aspect-level signals. To address this issue, we propose AspectGuard, a filtering framework based on Aspect-Based Sentiment Analysis (ABSA) a…
This study aims to detect anomalies, types of anomalies, and identify attributes that contribute to the cause of anomalies in the LAPAN-A2 microsatellite power system. Anomaly detection is cumulative-based, where the first year\\\\\\\\\\\\\\\'s dataset is added to the datasets of subsequent years for eight years. Anomaly detection uses a voting-based statistical ensemble (VBSE) approach and a c…
FM broadcast antennas come in many shapes and sizes, but the dipole remains one of the most widely used designs because of its simple structure and reliable performance. For long-distance FM transmission, multiple antennas are often stacked to improve coverage and produce a stronger, more consistent radiation pattern. In these configurations, each antenna bay is adjusted to achieve the desired …
The investigation focuses on using deep learning techniques to design a testing camera system and identify welding-related issues in outer pipes. The system uses an RGB camera, an ESP32 microcontroller, a DC motor with a rotary encoder, an LED strip, and a small computer that has a graphical user interface. This prototype was made to help with automating the inspection of carbon steel pipe weld…