Abstract Metastatic Breast Cancer (MBC) is one of the primary causes cancer-related deaths in women. Despite several limitations, histopathological information about malignancy used for classification cancer. The objective our study to develop a non-invasive breast cancer system diagnosis metastases. anaconda—Jupyter notebook various python programming modules text mining, data processing, and Machine Learning (ML) methods. Utilizing model cross-validation criteria, including accuracy, AUC,...

The degenerative neurological condition known as Parkinson's disease is distinguished by tremors, stiffness, and difficulties with walking, balance, motor coordination. a progressive condition. Identifying whether this guy suffers from the purpose of puzzle. Early detection effective treatment can significantly improve quality life for those affected. This highlights significance early detection. objective initiative to facilitate identification through use hand-drawn graphics. Three unique...

Hypertension describes elevated blood pressure, which significantly impacts cardiovascular diseases. Typically, a sphygmomanometer, cuff-like device, is used to measure patient's pressure. However, new techniques such as phonocardiogram (PPG) and electrocardiogram (ECG) based on cuff signals have been developed. Still, they require complex expensive multiple sensors. A machine learning-based method has proposed predict both systolic diastolic pressure overcome this issue. The model considers...

Abstract Big Data applications require extensive resources and environments to store, process analyze this colossal collection of data in a distributed manner. Containerization with cloud computing provides pertinent remedy accommodate big requirements, however requires precise appropriate load-balancing mechanism. The load on servers increases exponentially increased resource usage thus making balancing an essential requirement. Moreover, the adjustment containers accurately rapidly...

Abstract Artificial intelligence-powered deep learning methods are being used to diagnose brain tumors with high accuracy, owing their ability process large amounts of data. Magnetic resonance imaging stands as the gold standard for tumor diagnosis using machine vision, surpassing computed tomography, ultrasound, and X-ray in its effectiveness. Despite this, remains a challenging endeavour due intricate structure brain. This study delves into potential transfer architectures elevate accuracy...

Abstract An enhanced transmission is presented in a multiple‐input‐multiple‐output (MIMO) dense‐wavelength division multiplexed (DWDM) free‐space‐optical (FSO) communication link using diversity coding techniques under the effect of turbulent weather phenomenon. The findings show good performance with an (8 channels × 2.5 Gbps data rate/channel) 20 1500 m distance. bit‐error‐rate (BER), outage probability (OP), and signal‐to‐noise ratio (SNR) combining maximum‐ratio (MRC), selection (SC),...

Abstract The present work examines the physical, thermal tensile, and chemical properties of wood skin fibers obtained from second generation Bitter Albizia (BA) tree skin. Chemical characterization BA showed presence various contents such as cellulose 74.89 wt. %, hemicellulose 14.50 wax 0.31 lignin 12.8 moisture 11.71 ash 19.29 %. density (BAFs) was 1285 kg/m 3 . XRD analysis BAFs a crystallinity index (CI) 57.20% size crystallite 1.68 nm. Tensile strength strain to failure examined...

Abstract The current approach to diagnosing and classifying brain tumors relies on the histological evaluation of biopsy samples, which is invasive, time-consuming, susceptible manual errors. These limitations underscore pressing need for a fully automated, deep-learning-based multi-classification system malignancies. This article aims leverage deep convolutional neural network (CNN) enhance early detection presents three distinct CNN models designed different types classification tasks....

Abstract Cervical cancer, the second most prevalent cancer affecting women, arises from abnormal cell growth in cervix, a crucial anatomical structure within uterus. The significance of early detection cannot be overstated, prompting use various screening methods such as Pap smears, colposcopy, and Human Papillomavirus (HPV) testing to identify potential risks initiate timely intervention. These procedures encompass visual inspections, colposcopies, biopsies, HPV-DNA testing, each demanding...

Abstract Facial expression is one form of communication which being non‐verbal in nature precedes verbal both origin and conception. Most the existing methods for Automatic Expression Recognition (AFER) are mainly focused on global feature extraction assuming that all facial regions contribute equal amount discriminative information to predict class. The detection localization have significant contribution recognition highly distribution from those not fully explored. key contributions...

Online social networks(OSNs) facilitate their users in real-time communication but also open the door for several challenging problems like hate speech and fake news. This study discusses on OSNs presents an automatic method to identify messages. We introduce attentional multi-channel convolutional-BiLSTM network classification of hateful content. Our model uses existing word representation techniques a environment having filters with different kernel sizes capture semantics relations at...

In this study, acrylic-epoxy-based nanocomposite coatings loaded with different concentrations (0.5-3 wt.%) of graphene oxide (GO) nanoparticles were successfully prepared via the solution intercalation approach. The thermogravimetric analysis (TGA) revealed that inclusion GO into polymer matrix increased thermal stability coatings. degree transparency evaluated by ultraviolet-visible (UV-Vis) spectroscopy showed lowest loading rate (0.5 had completely blocked incoming irradiation, thus...

Abstract Globally, data maintenance and its security are vital tasks due to the rapid development of advanced technologies. Users now utilise Cloud computing technique techniques preserve their securely from intruders hackers. Even yet, because technology's advancement inherent insecurity, attackers conducting assaults on cloud data. Hence, a homomorphic encryption was proposed based Matrix Transformations with shifts, rotations, transpositions Binary converted ASCII values each character in...

Abstract The purpose of this work was to study the effect selenium nanoparticles (Se NPs) on biological and morphofunctional parameters barley seeds ( Hordéum vulgáre L.) We used L. with reduced characteristics. For experiment, Se NPs were synthesized stabilized didecyldimethylammonium chloride. It found that have a spherical shape diameter about 50 nm. According dynamic light scattering data, average hydrodynamic radius particles 28 ± 8 is observed positive ζ-potential (+ 27.3 mV). we...

The demand for probiotic-based functional food is increasing globally owing to its health-endorsing attributes. There are various driving forces behind probiotic therapy. However, Intestinal dysbiosis in humans the prime force this trend consumption of food. Probiotics have numerous health potentials, however, their target delivery and stability a great challenge manufacturer. Microencapsulation with types coating materials trending stable potential probiotics. encapsulation techniques pros...

Abstract In India, over 25,000 people have died from cardiovascular annually the past 4 years , and 28,000 in previous 3 years. Most of deaths nowadays are mainly due to diseases (CVD). Arrhythmia is leading cause mortality. a condition which heartbeat abnormally fast or slow. The current detection method for analyzing by electrocardiogram (ECG), medical monitoring technique that records heart activity. Since actuations ECG signals so slight they cannot be seen human eye, identification...

Parkinson's Disease (PD) is a prevalent neurological condition characterized by motor and cognitive impairments, typically manifesting around the age of 50 presenting symptoms such as gait difficulties speech impairments. Although cure remains elusive, symptom management through medication possible. Timely detection pivotal for effective disease management. In this study, we leverage Machine Learning (ML) Deep (DL) techniques, specifically K-Nearest Neighbor (KNN) Feed-forward Neural Network...

Abstract This study’s foremost objectives were to scrutinize how unexpected weather affects agricultural output and assess well AI-based machine learning deep leaning algorithms work for spotting apple leaf diseases. The researchers carried out a bibliometric study obtain understanding of the current research trends, citation patterns, ownership partnership arrangements, publishing other parameters related early identification illnesses. Comprehensive interdisciplinary scientific maps are...

Abstract Deep learning recently achieved advancement in the segmentation of medical images. In this regard, U-Net is most predominant deep neural network, and its architecture prevalent imaging society. Experiments conducted on difficult datasets directed us to conclusion that traditional framework appears be deficient certain respects, despite overall excellence segmenting multimodal Therefore, we propose several modifications existing cutting-edge model. The technical approach involves...

Abstract The Internet of Things (IoT) has recently attracted substantial interest because its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. current study, a new model is developed to categorize within an IoT network. network simulated monitoring crop diseases. Routing performed with Henry Gas Chicken Swarm Optimization (HGCSO), which designed by integrating Solubility (HGSO) and (CSO)....