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A hand gesture recognition system provides a robust and innovative solution to nonverbal communication through human–computer interaction. Deep learning models have excellent potential for usage in recognition applications. To overcome related issues, most previous studies have proposed new model architectures or have fine-tuned pre-trained models. Furthermore, these studies relied on one standard dataset for both training and testing. Thus, the accuracy of these studies is reasonable. Unlike these works, the current study investigates two deep learning models with intermediate layers to recognize static hand gesture images. Both models were tested on different datasets, adjusted to suit the dataset, and then trained under different m

Under major developments in the field of business environment, the use of traditional budgets do not fit into these developments and adversely affect the future performance of the enterprises, which requires the transition to modern systems in the preparation of the budgets of activity based budgeting ABB because they provide a more accurate and objective estimates based on scientific foundations and practical avoided arising from the use of traditional budgeting problems, Where ABB is working better allocation of resources based on the activities of an enterprise and this positively affects the performance of the administration for the purpose of evaluating their performance according to responsibility centers and decision-making govern

تهدف الدراسة إلى معالجة مشكلة تداعيات الأزمة المالية العالمية على أداء الاستثمار الأجنبي المباشر لكل من تونس والجزائر، ومن خلال ما يفرضه النظام العالمي المعولم فانه من المؤكد أن الاستثمارات الأجنبية المباشرة لدول الدراسة ستتأثر سلبا بهذه الأزمة لكن بدراجات متفاوتة نظرا لخصوصية كل اقتصاد ودرجة ارتباطه بالاقتصاد العالمي . وقد خلصت الدراسة إلى أن الأزمة المالية العالمية غيرت خارطة توزيع الاستثمارات الأجنب

الخلاصة ر 􀑧􀑧 ة التبخي 􀑧􀑧 رة بطريق 􀑧􀑧 ة المحض 􀑧􀑧 الرقيق ZnSe درس تأثير التلدين الحراري في بعض الخواص التركيبية والبصرية لأغشية ود 􀑧􀑧 ة حي 􀑧􀑧 لال تقني 􀑧􀑧 ن خ 􀑧􀑧 اعتين م 􀑧􀑧 دة س 􀑧􀑧 373,473 ) م )K راوح 􀑧􀑧 رارة تت 􀑧􀑧 درجات ح 􀑧􀑧 ة ب 􀑧􀑧 550±20 ) والملدن ) nm مك 􀑧􀑧 راري بس 􀑧􀑧 الح ة 􀑧􀑧 الاشعة السينية درست الخواص التركيبية واظھرت بأن الاغشية تمتلك طبيعة بلورية (تركيب مكعب). وبعد اجراء المعامل واص 􀑧􀑧 ا ا

In multivariate survival analysis, estimating the multivariate distribution functions and then measuring the association between survival times are of great interest. Copula functions, such as Archimedean Copulas, are commonly used to estimate the unknown bivariate distributions based on known marginal functions. In this paper the feasibility of using the idea of local dependence to identify the most efficient copula model, which is used to construct a bivariate Weibull distribution for bivariate Survival times, among some Archimedean copulas is explored. Furthermore, to evaluate the efficiency of the proposed procedure, a simulation study is implemented. It is shown that this approach is useful for practical situations and applicable fo

          The primary objective of this paper is to improve a biometric authentication and classification model using the ear as a distinct part of the face since it is unchanged with time and unaffected by facial expressions. The proposed model is a new scenario for enhancing ear recognition accuracy via modifying the AdaBoost algorithm to optimize adaptive learning. To overcome the limitation of image illumination, occlusion, and problems of image registration, the Scale-invariant feature transform technique was used to extract features. Various consecutive phases were used to improve classification accuracy. These phases are image acquisition, preprocessing, filtering, smoothing, and feature extraction. To assess the proposed