The exponential growth of data and increased reliance on interconnected systems have heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) are essential identifying mitigating threats through traffic analysis. However, effectiveness CADS is highly dependent selecting pertinent features. This research evaluates impact three feature selection techniques—Recursive Feature Elimination (RFE), Mutual Information (MI), Lasso Selection (LFS)—on performance. We...

The main concern is to explore an electro-magneto hydrodynamic (EMHD) squeezing flow of ( A g − F e 3 O 4 / H 2 ) hybrid nanofluid between stretchable parallel Riga plates. benefits the use nanofluids, and parameters associated it, have been analyzed mathematically. This particular problem has a lot importance in several branches engineering industry. Heat mass transfer along with nonlinear thermal radiation chemical reaction effects also incorporated while carrying out study. An appropriate...

Background: Accurate assessment of central venous pressure (CVP) is essential for managing critically ill patients. Ultrasound-guided measurement the internal jugular vein (IJV) and inferior vena cava (IVC) collapsibility index (CI) offers a non-invasive method estimating CVP. This study aimed to correlate IVC IJV indices with invasively measured Objective: To assess correlation between using point-of-care ultrasound (POCUS) estimation Methods: cross-sectional was conducted at Department...

Bitter gourd is one of the important cucurbits and highly liked among both farmers consumers due to its high net return nutritional value. However, being monoecious, it exhibits substantial variation in flower bearing pattern. Plant growth regulators (PGRs) are known influence crop phenology while gibberellic acid (GA3) most prominent PGRs that phenology. Therefore, a field trial was conducted at University Agriculture Faisalabad evaluate impact commercial product on growth, yield quality...

Domain of image processing is progressing a lot and has achieved tremendous milestones. Image helping in many ways for the researchers to achieve their goals especially security medical fields. Detection blood group disaster or remote areas where expert unavailable challenge. In this paper we have proposed system which will detect using techniques. Steps type techniques are discussed. Successful results been obtained accuracy optimal.

The enthralling sweet taste that mesmerizes the eastern part of India, or more specifically undivided Bengal (West and Bangladesh) is unveiled. ethnic sweetmeats originated in varied over their primary ingredients, size, shape, process production due to variation context geographical, cultural, religious beliefs. In total, thirty-eight numbers products are reconnoitered along with nutritional composition shelf life. Based on key can be divided into nine classes, namely, chhana-based,...

Migration is universal phenomena and people move from rural areas to urban areas, developing countries developed societies with stagnant economic conditions better off address their social needs. The present study was designed explore the socio-economic determinants of migrants in settings Sargodha city. For purpose existing literature on topics thoroughly reviewed. A sample 120 respondents taken equally (40 each colony) three randomly selected localities i.e. Satellite Town, Farooq Colony...

New exact solutions of the space–time conformable Caudrey–Dodd–Gibbon (CDG) equation have been derived by implementing derivative. The generalized Riccati mapping method is applied to figure out twenty-seven forms solutions, which are soliton, rational, and periodic ones. Also, for some suitable values parameters, found, namely dark, bell type, periodic, singular several others, using These types not proclaimed so far. 2D 3D graphical patterns also given clarification physical features....

Let \hskip 2pt $\mathcal{A}(n)$ denote the class of analytic functions $f$ in open unit disk $U=\{z:|z|<1\}$ normalized by $f(0)=f'(0)-1=0.$ In this paper, we introduce and study classes $S_{n, \mu}(\gamma, \alpha, \beta, \lambda, \mho)$ $R_{n, $f\in\mathcal{A}(n)$ with $(\mu)z(D^{\mho+2}_{\lambda}(\alpha, \omega)f(z))'+(1-\mu)z(D^{\mho+1}_{\lambda}(\alpha, \omega)f(z))'\neq0$ satisfy some conditions available literature, where $f\in\mathcal{A}(n), \omega, \mu \geq0, \mho\in...

Finding the rising stars is an interesting problem and has been recently studied in various domains including academic networks. This study formulates of prediction as a machine learning task. Classification models are applied features classified co-authors, author, venues. The impact categorization these empirically analyzed. experimentation performed on data Pakistani researchers retrieved from Web Sciences ranging 2008 to 2014. After collection dataset, feature sets calculated...

Gait recognition is one of the most recent emerging techniques human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has some special features. Most technique uses sequential template component recognition. Comparing those methods, we proposed a developed identification using feature Energy Image (GEI). GEI representation contains all information each image in cycle and requires less storage low...

Peer observation demands the teaching community to observe each other’s practice followed in classrooms and learn from it. It focuses on individual requirements learning by receiving providing constructive feedback. This study gives detailed information about purpose principle of peer along with steps cycle. The data gathered are postobservation forms meetings. Feedback peers is used demonstrate importance improving overall experience. results indicated that there a significant improvement...

Face is the most important part of human body. Facial expression a way nonverbal communication with one another. Human face expresses internal emotional feelings and contains information. It our goal to extract considerable features used for real-time Expression Recognition (FER) system. can be recognized by both facial shape appearance features. In proposed methodology, we first from positions on face. Then multi-orientation Gabor wavelet coefficient feature are extracted images. We have...

Various problems of pure and applied sciences can be studied in the unified framework nonlinear equations. In this paper, a new family iterative methods for solving equations is developed by using decomposition technique. The convergence proven. For implementation performance methods, some examples are solved results compared with existing methods.

Some geometric properties of a certain univalent function in the unit disk are considered this work and results extend some known literature.

We study univalence properties for certain subclasses of univalent functions 𝔎 , 2 3 and S ( p ), respectively. These are associated with a generalized integral operator. The extended Becker‐typed criteria will be studied these subclasses.

Let \hskip 2pt $\mathcal{A}(n)$ denote the class of analytic functions $f$ in open unit disk $U=\{z:|z|<1\}$ normalized by $f(0)=f'(0)-1=0.$ In this paper, we introduce and study classes $S_{n, \mu}(\gamma, \alpha, \beta, \lambda, \mho)$ $R_{n, $f\in\mathcal{A}(n)$ with $(\mu)z(D^{\mho+2}_{\lambda}(\alpha, \omega)f(z))'+(1-\mu)z(D^{\mho+1}_{\lambda}(\alpha, \omega)f(z))'\neq0$ satisfy some conditions available literature, where $f\in\mathcal{A}(n), \omega, \mu \geq0, \mho\in...

Identifying research areas of academicians is a challenging task. Most the researchers have used supervised machine learning to handle this task which requires labelled data. In paper, we propose use clique percolation (an overlapping community detection algorithm) identify academicians. We framework collect data from digital libraries and websites selected universities in Pakistan. then working multiple using present results our analyses.

Digital Transformation requires significant changes in industrial organization’s setting to remain relevant this fast-paced environment. This calls for modifications their organizational structures. The existing structures of organizations are mechanistic, while, digital transformation needs organic and flexible structure. Therefore, the main aim study is identify challenges that face process modifying mechanistic into To explore these challenges, we conducted multiple case from three global...