In this research, the well-known non-linear Lane–Emden–Fowler (LEF) equations are approximated by developing a nature-inspired stochastic computational intelligence algorithm. A trial solution of model is formulated as an artificial feed-forward neural network containing unknown adjustable parameters. From LEF equation and its initial conditions, energy function constructed that used in algorithm for optimisation networks unsupervised way. The proposed scheme tested successfully applying it...

A stochastic technique has been developed for the solution of fractional order system represented by Bagley‐Torvik equation. The mathematical model equation was with help feed‐forward artificial neural networks. training networks made evolutionary computational intelligence based on genetic algorithm hybrid pattern search technique. Designed scheme successfully applied to different forms Results are compared standard approximate analytic, numerical solvers and exact solutions.

Abstract Human gait analysis is a novel topic in the field of computer vision with many famous applications like prediction osteoarthritis and patient surveillance. In this application, abnormal behavior problems walking style detected suspected patients. The means assessments terms knee joints any other symptoms that directly affected patients’ style. carries substantial importance medical domain, but variability clothes, viewing angle, carrying conditions, may severely affect performance...

DC motors are used in numerous industrial applications like servo systems and speed control applications. For such systems, the Proportional+Integral+Derivative (PID) controller is usually of choice due to its ease implementation, ruggedness, easy tuning. All classical methods for PID design tuning provide initial workable values <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...

The excessive number of COVID-19 cases reported worldwide so far, supplemented by a high rate false alarms in its diagnosis using the conventional polymerase chain reaction method, has led to an increased high-resolution computed tomography (CT) examinations conducted. manual inspection latter, besides being slow, is susceptible human errors, especially because uncanny resemblance between CT scans and those pneumonia, therefore demands proportional increase expert radiologists. Artificial...

Software organization always aims at developing a quality software product using the estimated development resources, effort, and time. Global Development (GSD) has emerged as an essential tool to ensure optimal utilization of which is performed in globally distributed settings various geographical locations. engineering focuses on reducing cost, increasing speed, accessing skilled developers worldwide. Estimating required amount resources effort environment remains challenging task. Thus,...

Landslides result in the devastation of property and loss lives. This study assesses landslide susceptibility by employing geographic information systems (GIS) machine learning techniques, that is, support vector (SVM) artificial neural network (ANN), with integration advanced optimization particle swarm (PSO). The landslide-inducing factors considered this include fault density, lithology, road slope, elevation, flow direction, aspect, earthquake intensity, curvature, Normalized Difference...

Waveguides potentially offer an effective medium for interconnecting quantum processors within a modular framework, facilitating the coherent state transfer between qubits across separate chips. In this work, we analyze communication scenario where two are connected to shared waveguide, whose resonance frequency may match or not that of qubits. Both configurations simulated from perspective electrodynamics (QED) assess system behavior and key factors influence reliable inter-chip...

Transfer learning is a valuable tool for the effective assistance of gastroenterologists in powerful diagnosis medical images with fast convergence. It also intends to minimize time and estimated effort required improved gastrointestinal tract (GIT) diagnosis. GIT abnormalities are widely known be fatal disorders leading significant mortalities. includes both upper lower disorders. The challenges addressing issues complex need study. Multiple exist regarding computer-aided (CAD) endoscopy...

Plant diseases are accountable for economic losses in an agricultural country. The manual process of plant diagnosis is a key challenge from last one decade; therefore, researchers this area introduced automated systems. In research work, system proposed citrus fruit recognition using computer vision technique. method incorporates five fundamental steps such as preprocessing, disease segmentation, feature extraction and reduction, fusion, classification. noise being removed followed by...

Manual diagnosis of brain tumors using magnetic resonance images (MRI) is a hectic process and time-consuming. Also, it always requires an expert person for the diagnosis. Therefore, many computer-controlled methods diagnosing classifying have been introduced in literature. This paper proposes novel multimodal tumor classification framework based on two-way deep learning feature extraction hybrid optimization algorithm. NasNet-Mobile, pre-trained model, has fine-tuned trained original...

A novel algorithm is developed based on fractional signal processing approach for parameter estimation of input nonlinear control autoregressive (INCAR) models. The design scheme consists parameterization INCAR systems to obtain linear-in-parameter models and use least mean square (FLMS) adaptation unknown vectors. performance analyses the proposed are carried out with third-order Volterra (VLMS) kernel (KLMS) algorithms convergence true values systems. It found that FLMS provides most...

In this work, we propose a method based on Genetic algorithm hybridized with Pattern Search for joint estimation of Amplitude and Direction Arrival, azimuth as well elevation angles using L-type array. Four other schemes, i.e., the algorithm, Search, Simulated Annealing are also discussed compared Search. Multiple sources taken in far fleld sensors array Mean Square Error is fltness function. This function optimal nature requires only single snapshot. It avoids any ambiguity or required...

Agriculture is the backbone of each country, and almost 50% population directly involved in farming. In Pakistan, several kinds fruits are produced exported other countries. Citrus an important fruit, its production Pakistan higher than fruits. However, diseases citrus such as canker, scab, blight, a few more impact quality quantity this Fruit. The manual diagnosis these required expert person who always time-consuming costly procedure. agriculture sector, deep learning showing significant...