Facial expression recognition (FER) remains a hot research area among computer vision researchers and still becomes challenge because of high intra-class variations. Conventional techniques for this problem depend on hand-crafted features, namely, LBP, SIFT, HOG, along with that classifier trained database videos or images. Many execute perform well image datasets captured in controlled condition; however not the more challenging dataset, which has partial faces variation. Recently, many...

Crop insect detection becomes a tedious process for agronomists because substantial part of the crops is damaged, and due to pest attacks, quality degraded. They are major reason behind crop degradation diminished productivity. Hence, accurate essential guarantee safety quality. Conventional identification insects necessitates highly trained taxonomists detect precisely based on morphological features. Lately, some progress has been made in agriculture by employing machine learning (ML)...

Hyperspectral imaging instruments could capture detailed spatial information and rich spectral signs of observed scenes. Much signatures hyperspectral images (HSIs) present greater potential for detecting classifying fine crops. The accurate classification crop kinds utilizing remote sensing (RSI) has become an indispensable application in the agricultural domain. It is significant prediction growth monitoring yields. Amongst deep learning (DL) techniques, Convolution Neural Network (CNN)...

Segmenting brain tumors automatically using MR data is crucial for disease investigation and monitoring. Due to the aggressive nature diversity of gliomas, well-organized exact segmentation methods are used classify intra-tumorally. The proposed technique uses a Gray Level Co-occurrence matrix extraction features approach strip out unwanted details from images. In comparison with current state art, accuracy tumor was significantly improved Convolutional Neural Networks, which frequently in...

The swift advancement of cyber-physical systems (CPSs) across sectors such as healthcare, transportation, critical infrastructure, and energy enhances the crucial requirement for robust cybersecurity measures to protect these from cyberattacks. method is a hybrid cyber physical components, safety breach in element central catastrophic consequences. Cyberattack recognition mitigation techniques CPSs include using numerous models like intrusion detection (IDSs), access control mechanisms,...

Wireless sensor networks (WSN) are low-resource devices that run on small batteries. The availability of battery energy, device drive cycles, and environmental conditions all have an impact node lifetime. state charge (SoC) is important factor in determining the amount energy available Accurate SoC estimation critical for lifetime prediction safe operation. We present a novel approach adaptive based Gaussian Process Regression this paper (GPR). training data was obtained climate-controlled...

Sentiment analysis (SA) is the procedure of recognizing emotions related to data that exist in social networking. The existence sarcasm textual a major challenge efficiency SA. Earlier works on detection text utilize lexical as well pragmatic cues namely interjection, punctuations, and sentiment shift are vital indicators sarcasm. With advent deep-learning, recent works, leveraging neural networks learning contextual features, removing need for handcrafted feature. In this aspect, study...

In a Battery Management System (BMS), cell balancing plays an essential role in mitigating inconsistencies of state charge (SoCs) lithium-ion (Li-ion) cells battery stack. If the are not properly balanced, weakest Li-ion will always be one limiting usable capacity pack. Different strategies have been proposed to balance non-uniform SoC serially connected string. However, efficiency and slow convergence remain key issues methods. Aiming alleviate these challenges, this paper, hybrid duty...

Adversarial attacks were commonly considered in computer vision (CV), but their effect on network security apps rests the field of open investigation. As IoT, AI, and 5G endure to unite understand potential Industry 4.0, events incidents IoT systems have been enlarged. While networks efficiently deliver intellectual services, vast amount data processed collected also creates severe concerns. Numerous research works keen project intelligent intrusion detection (NIDS) avert exploitation...

Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occurs from abnormal cell evolution in cervix and a vital functional structure uterus. The importance of timely recognition cannot be overstated, has led to various screening methods such as colposcopy, Human Papillomavirus (HPV) testing, Pap smears identify potential threats enable early intervention. Early detection during precancerous phase crucial, it provides an opportunity for effective...

According to the International Classification of Functioning, Disability and Health (ICF), upper limb amputations constitute 16% total amputations, significantly affecting an individual's ability grasp objects. This paper proposes development underactuated prosthetic hand tailored for amputees, introducing a Master-Slave Grasping Control system. The research involves meticulous study suitable finger mechanisms, servo motors controllers enhance grasping ungrasping activities. Employing...

Biomedical engineering involves ideologies and problem-solving methods of to biology medicine. Malaria is a life-threatening illness, which has gained significant attention among researchers. Since the manual diagnosis malaria in clinical setting tedious, automated tools based on computational intelligence (CI) have considerable interest. Though earlier studies were focused handcrafted features, diagnostic accuracy can be boosted through deep learning (DL) methods. This study introduces new...

A gastrointestinal disease is a group of cancers which mainly affects the digestive system, along with stomach, small intestine, oesophagus, rectum, and colon. Accurate classification earlier diagnosis this cancer are crucial for better patient outcomes. Deep learning (DL) algorithm, especially convolutional neural network (CNN), trained to categorize endoscopic images tissue as either benign or malignant. Gastrointestinal (GC) DL process using artificial intelligence (AI), gastric It could...

Diabetic foot ulcers (DFU) are a common and serious complication in individuals with diabetes, early detection plays crucial role effective treatment prevention of further complications. Automated DFU Detection Classification using Deep learning (DL) refers to the application deep techniques automatically detect classify diabetic from medical images. DL, subfield machine learning, has shown promising results imaging analysis, including ulcer detection. The use provides various benefits,...

Osteosarcoma is the most normal kind of cancer that arises in bones, which appears on surface to resemble earlier types bone cells assist forging new tissues, but tissue osteosarcoma weaker and softer than tissue. The usage automated techniques for detection has potential mitigate obligations burdens confronted by pathologists owing its abundant quantity cases. Artificial intelligence (AI) an emerging progress diagnostic pathology. In recent years, numerous studies using deep learning (DL)...