An image is worth a thousand words; hence, face illustrates extensive details about the specification, gender, age, and emotional states of mind. Facial expressions play an important role in community-based interactions are often used behavioral analysis emotions. Recognition automatic facial from challenging task computer vision community admits large set applications, such as driver safety, human-computer interactions, health care, science, video conferencing, cognitive others. In this...

Emotion recognition plays a significant role in cognitive psychology research. However, measuring emotions is challenging task. Thus, several approaches have been designed for facial expression (FER). Although, the challenges increase further as data transit from laboratory-controlled environment to in-the-wild circumstances, nowadays, applications are overwhelmed by profusion of deep learning (DL) techniques real-world problems. DL networks steadily led better understanding low-dimensional...

Nowadays, automatic deception detection has received considerable attention in the machine learning community owing to this research interest its vast applications fields of social media, interviews, law enforcement, and military. In study, a novel deep convolution neural network (DCNN) named LieNet is proposed precisely detect multiscale variations automatically. Our approach combination contact noncontact-based approaches. First, 20 frames from each video are fetched concatenated form...

With the advent of deep learning, research on facial expression recognition (FER) has received a lot interest. Different convolutional neural network (DCNN) architectures have been developed for real-time and efficient FER. One challenges in FER is obtaining trustworthy features that are strongly associated with changes. Furthermore, traditional DCNNs problems two significant issues: insufficient training data, which leads to overfitting, intra-class appearance variations. FLEPNet,...

Facial expression analysis plays a crucial role in various fields, such as affective computing, marketing, and clinical evaluation. Despite numerous advances, research on facial recognition (FER) has recently been proceeding from confined lab circumstances to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-the-wild</i> environments. FER is still an arduous demanding problem due occlusion pose changes, intra-class intensity variations...

Purpose Ensuring the quality of 3D-printed polymer parts is crucial, as defects can undermine their functionality and integrity. Warping, stringing cracking significantly affect durability parts. This study aims to compare performance various deep learning (DL) models in detecting these individually (warping/no warping, stringing/no cracking/no cracking) well combinedly (warping, stringing, no defect). Design/methodology/approach A Raspberry Pi-based data acquisition system was used during...

Automatic signal classification is utilized in various medical and industrial applications, particularly schizophrenia (SZ) diagnosis, one of the most prevalent chronic neurological diseases. SZ a significant mental illness that negatively affects person's behavior by causing things like speech impairment delusions. In this study, electroencephalography (EEG) signals, non-invasive diagnostic technique, are being investigated to distinguish patients from healthy people proposing pyramidal...

Skin cancer is one of the most prominent types cancer, and prompt intervention in its detection can lead to faster treatment. In absence timely intervention, consequences prove fatal. The identification this conventionally done by a biopsy, wherein segment afflicted tissue undergoes scrutiny unveil presence malignant cells. Our aim discern delineate existence cancerous cells within tissues, differentiating them from ordinary skin ailments that may mimic appearance malignancy naked eye....

Abstract Skin cancer is a lethal disease, and its early detection plays pivotal role in preventing spread to other body organs tissues. Artificial Intelligence (AI)-based automated methods can play significant detection. This study presents an AI-based novel approach, termed 'DualAutoELM' for the effective identification of various types skin cancers. The proposed method leverages network autoencoders, comprising two distinct autoencoders: spatial autoencoder FFT (Fast Fourier...

The early detection of plant diseases reduces agricultural loss. In the field computer vision and pattern recognition, deep learning (DL) techniques, particularly convolutional neural networks (CNNs), are widely employed. To identify diseases, researchers put forth various DL models. However, models require many parameters to learn underlying patterns disease, increasing training time making it challenging deploy on small devices. This study introduces a novel model utilizing dual...

Polycystic Ovary Syndrome (PCOS) is a hormonal disorder that impacts significant proportion of women in their reproductive years. It results irregular menstrual cycles and elevated levels androgens, known as male hormones. Women with PCOS often have ovaries develop numerous small fluid-filled sacs called follicles, but they fail to release eggs regularly. While the precise cause remains unknown, early identification weight loss can help mitigate risk long-term complications. In this study,...

ABSTRACT According to the World Health Organization, lung and colon cancers are known for their high mortality rates which necessitate diagnosis of these at an early stage. However, limited availability data such as histopathology images used cancers, poses a significant challenge while developing computer‐aided detection system. This makes it necessary keep check on number parameters in artificial intelligence (AI) model considering data. In this work, customised compact efficient...

<title>Abstract</title> Face images are the primary non-verbal, face-to-face communication method used in criminal detection, depression analysis, mental disease identication, health forecasting, and other applications. As a result, there has been lot of study on emotion recognition using face recent years. However, it remains big challenge, especially when intra-class variations high. A novel deep convolutional neural network (DCNN) textured is suggested this work for solving task. Firstly,...

A considerable percentage of pregnant women are affected by PCOS, or polycystic ovarian syndrome, a metabolic condition. It causes higher amounts androgens, male hormones, and irregular menstrual periods. Follicles, which tiny sacs packed with fluid that form on the ovaries impede regular release eggs, common side effect PCOS. Initial detection weight control might help prevent detrimental effects even though exact aetiology is still unknown. With Spatial Pyramid Pooling Network (ASPPNet),...