Optical solitons are special waves that maintain their shape while traveling. Hence, solitary optical have great significance when it comes to representing pulse propagation through nonlinear partial differential equations. In our research, we uncovered unique solutions for the formation of wave patterns in equation Heisenberg ferromagnetic spin chain (HFSC). This aptly describes behavior electromagnetic contemporary magnetism. By employing innovative techniques based on logarithmic...

The COVID-19 pandemic has caused drastic changes across the globe, affecting all areas of life. This paper provides a comprehensive study on influence in various fields such as economy, education, society, environment, and globalization. In this study, both positive negative consequences education are studied. Modern technologies combined with conventional teaching to improve communication between instructors learners. also greatly affected people disabilities those who older, these persons...

Quality-of-service (QoS) is the term used to evaluate overall performance of a service. In healthcare applications, efficient computation QoS one mandatory requirements during processing medical records through smart measurement methods. Medical services often involve transmission demanding information. Thus, there are stringent for secure, intelligent, public-network quality-of-service. This paper contributes three different aspects. First, we propose novel metaheuristic approach...

Brain tumors are the most common and aggressive illness, with a relatively short life expectancy in their severe form. Thus, treatment planning is an important step improving patients’ quality of life. In general, image methods such as computed tomography (CT), magnetic resonance imaging (MRI), ultrasound images used to assess brain, lung, liver, breast, prostate, so on. X‐ray images, particular, utilized this study diagnose brain tumors. This paper describes investigation convolutional...

The detection of the objects in ariel image has a significant impact on field parking space management, traffic management activities and surveillance systems. Traditional vehicle algorithms have some limitations as these are not working with complex background small size object bigger scenes. It is observed that researchers facing numerous problems classification, i.e., complicated background, vehicle’s modest size, other similar visual appearances correctly addressed. A robust algorithm...

The study presents a meshless computational approach for simulating the three-dimensional multi-term time-fractional mobile-immobile diffusion equation in Caputo sense. methodology combines stable Crank-Nicolson time-integration scheme with definition of derivative to discretize problem temporal direction. spatial function is approximated using inverse multiquadric radial basis function. solution on set scattered or uniform nodes, resulting sparse and well-conditioned coefficient matrix....

The phenomenon known as the Jeffrey-Hemal flow has become significantly important in diverse engineering and biological fields due to its use transportation of nanofluids across converging diverging channels. authors' current efforts are driven by interdisciplinary development study this field. This research aims examine behavior magnetized they through channels, taking into account impact a thermally balanced Darcy-Forchheimer permeable medium. composed copper oxide (CuO) water. second law...

Accurate and early detection of machine faults is an important step in the preventive maintenance industrial enterprises. It essential to avoid unexpected downtime as well ensure reliability equipment safety humans. In case rotating machines, significant information about machine's health condition present spectrum its vibration signal. This work proposes a fault system machines using signal analysis. First, dataset 3-dimensional signals acquired from large induction motors representing...

Software-defined network (SDN) becomes a new revolutionary paradigm in networks because it provides more control and operation over infrastructure. The SDN controller is considered as the operating system of based infrastructure, responsible for executing different applications maintaining services functionalities. Despite all its tremendous capabilities, face many security issues due to complexity architecture. Distributed denial (DDoS) common attack on centralized architecture, especially...

This paper presents ear recognition models constructed with Deep Residual Networks (ResNet) of various depths. Due to relatively limited amounts images we propose three different transfer learning strategies address the problem. is done either through utilizing ResNet architectures as feature extractors or employing end-to-end system designs. First, use pretrained trained on specific visual tasks, inititalize network weights and train fully-connected layer task. Second, fine-tune entire...

Seagull Optimization Algorithm (SOA) is a metaheuristic algorithm that mimics the migrating and hunting behaviour of seagulls. SOA able to solve continuous real-life problems, but not discrete problems. The eight different binary versions are proposed in this paper. uses four transfer functions, S-shaped V-shaped, which used map search space into space. Twenty-five benchmark functions validate performance algorithm. statistical significance also analysed. Experimental results divulge...

Abstract Heat transfer and hydromagnetic flow of ternary hybrid nanofluids between non‐parallel plates are presented in this research work. Lorentz force, nanoparticle shape, heat sink/source, non‐linear solar radiation, stretching/shrinking wall effects considered. A polymer base fluid containing nanoparticles (i.e., nanoparticles) is By utilizing the similarity transformations, fundamental partial differential equations derived from mathematical modeling transformed into ordinary...

The vehicular ad hoc network (VANET) has traditional routing protocols that evolved from mobile networks (MANET). standard of VANET are geocast, topology, broadcast, geographic, and cluster‐based protocols. They have their limitations not suitable for all types traffic scenarios. Hence, metaheuristics algorithms like evolutionary, trajectory, nature‐inspired, ancient‐inspired can be integrated with to achieve optimized performance results in desired This paper proposes integrating genetic...

Abstract In this paper, we prove some common fixed point theorems on bicomplex metric space. Our results generalize and expand of the literature’s well-known results. We also explore applications our key

In this paper, we investigate new types of nonlocal implicit problems involving piecewise Caputo fractional operators. The existence and uniqueness results are proved by using some fixed point theorems. Furthermore, present analogous Caputo-Fabrizio Atangana–Baleanu ensuring the solutions is shown Ulam-Hyer’s stability. At last, two examples given to show approve our outcomes.

Information extraction plays a vital role in natural language processing, to extract named entities and events from unstructured data. Due the exponential data growth agricultural sector, extracting significant information has become challenging task. Though existing deep learning-based techniques have been applied smart agriculture for crop cultivation, disease detection, weed removal, yield production, still it is difficult find semantics between extracted due unswerving effects of...

Different strategies have been utilized by investigators with the intention of upgrading thermal characteristics ordinary liquids like water and kerosene oil. The focus is currently on hybrid nanomaterials since they are more efficient than nanofluids, so as to increase conductivity fluids mixtures. In a similar manner, this investigation performed aim breaking down consistent mixed convection flow close two-dimensional unstable between two squeezing plates homogeneous heterogeneous reaction...