AIMC Topic: Algorithms

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AI-driven classification and precision cutting algorithms using machine vision in a customer-operated fish processing system.

Scientific reports
Despite the high nutritional value of fish, it is often under-consumed due to its characteristic odor and laborious cleaning process. This sensory barrier significantly diminishes the appeal of fish, particularly in regions or cultures where individu...

Detect pre-cancerous tongue lesions for early oral cancer diagnosis using deep learning algorithm.

Scientific reports
Precancerous tongue lesion is a prevalent, complex, and highly perilous kind of cancer. The tumour might be in the salivary glands, tonsils, neck, cheek, and mouth. Oral Cancer (OC) is commonly identified in advanced stages due to the limited accurac...

A hybrid bio inspired neural model based on Ropalidia Marginata behavior for multi disease classification.

Scientific reports
Accurate and efficient disease diagnosis remains a critical challenge in the healthcare sector. With the growing availability of biomedical data, machine learning techniques have become invaluable tools for developing intelligent disease detection sy...

Data augmentation alters feature importance in XGBoost for CVD prediction.

Scientific reports
Machine learning models are powerful tools for cardiovascular disease (CVD) prediction, but their performance is often limited by dataset size and class imbalance. While data augmentation techniques can address these issues, their impact on model int...

Spatiotemporal multimodal emotion recognition using Temporal video sequences and pose features for child emotion classification.

Scientific reports
Developmental psychology and affective computing have placed great emphasis on identifying children's emotional cues in recent times. In this study, a novel Spatio-Temporal Multimodal Emotion Recognition Network (ST-MERN) for child emotion classifica...

Adaptive composite loss for volumetric whole heart segmentation.

Scientific reports
Accurate segmentation in medical imaging requires loss functions that capture both regional overlap and boundary alignment. This study evaluates composite losses combining binary cross-entropy (BCE) and a boundary-based term under fixed and adaptive ...

MedNet: a lightweight attention-augmented CNN for medical image classification.

Scientific reports
Disease detection using medical images enables early and precise diagnosis. Despite the growing success of deep learning models, accurate classification remains a significant challenge. Medical images often exhibit characteristics such as limited spa...

Evaluation of attitudes of university students towards artificial intelligence using data mining methods.

Scientific reports
This study analyzes university students' attitudes towards artificial intelligence. Within the scope of the research, the data obtained from 1379 students through scale application were classified into three classes as "Insufficient", "Sufficient" an...

Accurate prediction of protein-ATP binding sites based on a protein pretrained large language model and a fractional-order convolutional neural network.

Scientific reports
ATP, a high-energy phosphate compound also known as adenosine triphosphate, serves as a direct energy source for living organisms. Proteins, composed of amino acids, are fundamental macromolecules and essential building blocks of life. The interactio...

Depth-estimation of stiffness singularity in an elastic object via directional touch sensing using microfinger with tactile sensor.

Scientific reports
Understanding object information during robotic hand grasping is a key goal in robotics. Researchers have integrated tactile sensors to replicate artificial haptics on humanoid robot fingertips, but robotic grasping has yet to be fully applied in pal...