Change detection with background subtraction process remains to be an unresolved issue and attracts research interest due challenges encountered on static dynamic scenes. The key challenge is about how update dynamically changing backgrounds from frames adaptive self-regulated feedback mechanism. In order achieve this, we present effective change algorithm for pixelwise changes. A sliding window approach combined control of parameters introduced updating frames, which called window-based...

Early fault detection and real-time condition monitoring systems have become quite significant for today's modern industrial systems. In a high volume of manufacturing facilities, fleets equipment are expected to operate uninterrupted days or weeks. Any unplanned interruptions uptime could jeopardize manufacturers' cycle time, capacity, and, most significantly, credibility their customers. With the help smart technologies, companies started develop integrate classification where end-to-end...

Transportation mode selection is pivotal for navigating through cities plagued by heavy traffic congestion. This plays a crucial role in ensuring the efficient utilization of time and resources to achieve desired objectives. Given complex dynamics urban mobility, strategically selecting transportation can significantly mitigate delays enhance overall productivity densely populated areas. The objective this study find most result among various modes make deliveries from different points on...

Bitki hastalıklarının güvenilir ve zamanında tanımlanması modern tarımda çok önemli bir zorluktur. Geleneksel yöntemler gözle görülür semptomların manuel olarak gözlemlenmesine dayanır. Görünür semptomlar, enfeksiyonun orta veya geç aşamalarında ortaya çıkma eğilimindedir; bu da yayılma verim azalması olasılığını artırır. hastalıkları görülebilir hale geldikten sonra hastalık bulaşmış olmakta tedavi için kalınmış olmaktadır. Bu sebeplerden dolayı bitki hastalıkların görülmeden önce tespit...

The sustainable management of agricultural resources requires the integration cutting-edge science with observation and identification crops. This assists experts to make correct decisions. aim this study is assess robustness a commonly used deep learning tool, VGG16, in improving categorization wheat kernels. Two fusion methodologies were considered simultaneously. We performed experiments on visible light (RGB), short wave infrared (SWIR), visible-near (VNIR) datasets, including 40...

Advances in machine learning technologies have provided that malicious programs can be detected based on static and dynamic features. Moreover, a crowded set of studies throughout literature indicates malware detection handled with remarkable accuracy rate once converted into image domain. To realize this, some techniques been developed together feature extraction classifiers order to discover the relation between binaries grayscale color representation. With similar way, we contributed CNN...

Traditionally, diagnosis and monitoring of agricultural diseases are carried out through on-site observation inspection. These methods time-consuming may represent limited samples. Therefore, remote sensing technology has become an important tool in disease detection agriculture. In the research, Cercospora leaf spot ( beticola sacc. ) disease, which cause significant economic losses sugar beet production, were detected early stages using machine learning algorithms non-invasive...

Common vector approach (CVA) is an increasingly popular classification method in recognition problems where probability of having the dimensionality problem higher than number data items not zero. In CVA, common component members classes separated from discriminating difference parts and used to determine whether a given (a block data) belongs class question, or find out it to. this study, overlapping image blocks near current pixel be denoised are as input constructed per position. Denoised...

Background modelling is a fundamental step for several real‐time computer vision applications that requires security systems and monitoring. An accurate background model helps to detect the activity of moving objects in video. In this work, authors have developed new subspace‐based background‐modelling algorithm using concept common vector approach (CVA) with Gram–Schmidt orthogonalisation. Once involves characteristic different views corresponding same scene acquired, smart foreground...

In this study, we have provided an alternative solution to spam and legitimate email classification problem.The different deep learning architectures are applied on two feature selection methods, including the Mutual Information (MI) Weighted (WMI).Firstly, methods WMI MI reduce number of selected terms.Secondly, vectors constructed with concept bag-of-words (BoW) model.Finally, performance system is analyzed using Artificial Neural Network (ANN), Long Short-Term Memory (LSTM) Bidirectional...

In this study, we present a new contour-based corner detection method based on the turning angle curvature computed from contour gradients of image. general, is with pixel locations extracted image contours. most extraction methods, gradient information already computed. The proposed algorithm makes use available to compute function and takes local extremums as potential candidates. Afterwards, candidates are validated by novel validation which tries approximate geometric structure an...

Recommender systems provide recommendations about various products and services to their users while using other data. Their success is imperative for both the e-commerce sites utilizing such systems. Providing accurate dependable increases user satisfaction that results selling more services. Image-based recommender are receiving increasing attention in recent years. These based on images uploaded by users. They first determine most similar they upload system. then return likely image liked...

The applications of modern biometric techniques for person identification systems rapidly increase meeting the rising security demands. distinctive physiological characteristics are more correctly measurable and trustworthy since previous measurements not appropriately made properties. While a variety strategies have been enabled identification, electrocardiogram (ECG)-based approaches popular reliable in senses measurability, singularity, universal awareness heartbeat signals. This paper...