Purpose The purpose of this paper is to investigate the effect different types networking, namely, business financial networking and political on performance new ventures extent which competitive advantage influences process. Design/methodology/approach Data were collected through a structured questionnaire using sample size 319 newly established in Pakistan – an emerging economy. hypotheses tested with structural equation modeling by AMOS 21. Findings Results study indicate that...

Predictive performance of Machine Learning (ML) models rely on the quality data used for training models. However, if is not balanced among different classes, ML deteriorate heavily. Several techniques have been proposed in literature to add some semblance balance sets by adding artificial points. Synthetic Minority Oversampling Technique(SMOTE) and Adaptive Sampling(ADASYN) are commonly deal with class imbalance. these approaches prone 'within imbalance' 'small disjunct problem'. To...

An electrocardiograph (ECG) is widely used in diagnosis and prediction of cardiovascular diseases (CVDs). The traditional ECG classification methods have complex signal processing phases that leads to expensive designs. This paper provides a deep learning (DL) based system employs the convolutional neural networks (CNNs) for signals present PhysioNet MIT-BIH Arrhythmia database. proposed implements 1-D residual network (ResNet) model performs feature extraction by directly using input...

Network traffic generation is one of the primary techniques that used to design and analyze performance network security systems. However, due diversity IoT networks in terms devices, applications protocols, traditional generator tools are unable generate specific protocols traffic. Hence, cannot be for designing testing IoT-specific solutions. In order an IoT-based framework, two main challenges include device modelling generating normal attack simultaneously. Therefore, this work, we...

Abstract Detection and removal of outliers in a dataset is fundamental preprocessing task without which the analysis data can be misleading. Furthermore, existence anomalies heavily degrade performance machine learning algorithms. In order to detect an unsupervised manner, some novel statistical techniques are proposed this paper. The based on methods considering compactness other properties. newly ideas found efficient terms performance, ease implementation, computational complexity. two...

The video classification task has gained significant success in the recent years. Specifically, topic more attention after emergence of deep learning models as a successful tool for automatically classifying videos. In recognition importance and to summarize this task, paper presents very comprehensive concise review on topic. There are several existing reviews survey papers related scientific literature. However, do not include state-of-art works, they also have some limitations. To provide...

Numerous advancements in various fields, including pattern recognition and image classification, have been made thanks to modern computer vision machine learning methods. The capsule network is one of the advanced algorithms that encodes features based on their hierarchical relationships. Basically, a type neural performs inverse graphics represent object different parts view existing relationship between these parts, unlike CNNs, which lose most evidence related spatial location requires...

The importance of unsupervised clustering methods is well established in the statistics and machine learning literature. Many sophisticated classification techniques have been made available to deal with a growing number datasets. Due its simplicity efficiency large dataset, k-means algorithm still popular widely used community. However, as other methods, it requires one choose balanced clusters advance. This paper’s primary emphasis develop novel method for finding optimum clusters, k,...

The geographically spatial and controlled distribution of fossil fuel resources, catastrophic global warming, depletion resources have forced us to integrate zero- or low-emissions energy such as wind solar, in the generation mix. These renewable are unexhausted, available around globe, free cost. advancement solar technologies has caused an appreciable decrease installed levelized costs electricity via these sources. Therefore, penetration mix can provide a promising solution...

Qatar is a peninsular country with predominantly hot and humid weather, 88% of the total population being immigrants. As such, it leaves liable to introduction dissemination vector-borne diseases, in part due presence native arthropod vectors. Qatar's weather expected become warmer changing climatic conditions across globe. Environmental factors such as humidity temperature contribute breeding distribution different types mosquito species given region. If proper timely precautions are not...

The application of Machine Learning (ML) in healthcare has opened unprecedented avenues for predictive analytics, diagnostics, and personalized medicine. However, the sensitivity data ethical dilemmas associated with automated decision-making necessitate a rigorous framework. This review paper aims to provide comprehensive overview existing frameworks that guide ML evaluates their adequacy ad-dressing challenges. Specifically, this article offers an in-depth examination prevailing constructs...

The traditional electric power system is examining a transformation process to an intelligent, efficient, and cost-effective smart grid (SG) system. SG has different subsystems for its accurate functionality. Among these subsystems, the communication subsystem plays vital role real-time data sharing between devices systems connected in domain. In this paper, survey of provided several technologies that have strong potential implementation future applications by utility companies are...

Electronic nose is an instrument equipped with chemical gas sensors and used to sense, identify, measure different odors. The problem arises when these incorporate drift by the passage of time. effect so adverse that pattern recognition algorithms for identification measurement odors fail respond accurately. To overcome challenge in sensors, one most widely techniques system re-calibration, which a cumbersome process. Keeping mind challenges issues re-calibration real-life applications, this...

Cardiovascular disease (CVD) is reported to be the leading cause of mortality in middle eastern countries, including Qatar. But no comprehensive study has been conducted on Qatar specific CVD risk factors identification. The objective this case-control was develop machine learning (ML) model distinguishing healthy individuals from people having CVD, which could ultimately reveal list potential associated To best our knowledge, considered largest collection biomedical measurements...

In this paper, a novel non-parametric clustering algorithm which is based on the concept of divide-and-merge proposed. The proposed two primary phases, after data cleaning: (i) Division phase and (ii) Merging phase. initial division, divided into an optimized number small sub-clusters utilizing all dimensions data. second merging, obtained as result division are merged according to advanced statistical metric form actual clusters in has following merits: ability discover both convex...

Several metal oxides, such as tungsten oxide (WO3), are considered superior sensing materials for hydrogen sulfide (H2S) detection in the ambient environment. In this study, silver loaded nanoparticles were prepared by microwave-assisted chemical route. Nanoparticle thin films deposited on substrates with electrical electrodes to explore their gas and properties. The morphology, crystal structure, state examined using x-ray diffraction (XRD), scanning electron microscopy (SEM), transmission...

Heart failure is a complex cardiovascular condition characterized by the heart’s inability to pump blood effectively, leading cascade of physiological changes. Predicting survival in heart patients crucial for optimizing patient care and resource allocation. This research aims develop robust prediction model using advanced machine learning techniques. We analyzed data from 299 hospitalized patients, addressing issue imbalanced with Synthetic Minority Oversampling (SMOTE) method....

Table salt, or sodium chloride, is extensively utilized in the culinary business as a flavoring agent, texture garnishing [...]