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SDDM: an interpretable statistical concept drift detection method for data streams
Machine learning models assume that data is drawn from a stationary distribution. However, in practice, challenges are imposed on models that need to make sense of fast-evolving data streams, where the content of data is changing and evolving over time. This change between the distributions of training data seen so-far and the distribution of newly coming data is called concept drift. It is of
LOGISTICS 4.0, INNOVATION & INTELLECTUAL PROPERTY EVALUATION: THE MODERATING EFFECTS OF ITS ADOPTION
The purpose of this paper is to study and analyse the changes in logistics technologies concerning Industry 4.0. The paper discusses the effect logistics 4.0 innovations have on Intellectual Property (IP) management. Logistics 4.0 has marked a new era and introduced a novel concept to both industry and service communities. New entrepreneurial ideas based on different technologies are introduced
Traffic Analysis for Real Time Applications and its Effect on QoS in MANETs
Quality of Service (QoS) is one of the major challenges in Mobile Ad-hoc Networks (MANETs), due to their nature and special characteristics. QoS depends on different and multiple metrics such as routing protocols, route stability, channel rate quality, bandwidth, ... etc. Most of studies focus on the above metrics and some of them proposed enhancements. However, there are still unfilled gaps that
Simple implementations of fractional-order driving-point impedances: Application to biological tissue models
A novel procedure for the circuit implementation of the driving-point impedance of frequency-domain material models, constructed from fractional-order elements of arbitrary type and order, is introduced in this work. Following this newly introduced concept, instead of emulating separately each fractional-order element in the model under consideration, the direct emulation of the complete model can
A Preprocessing Approach to Improve the Performance of Inception v3-based Face Shape Classification
Face shape classification is considered one of the trending topics in the artificial intelligence research field. Face shape classification can be employed in many broad-scoped projects, such as hairstyle recommendation systems in the beauty and fashion industry. In this paper, the inception v3 model was employed to reach the highest possible performance for classifying the different face shapes
USING INDUSTRY 4.0 TECHNOLOGIES TO ENRICH THE MANUFACTURING SMES IN EGYPT
Egypt's vision 2030 is a national strategic vision formulated in 2016 with the set goal to attain the comprehensive sustainable development of the economy, society, and environment in three main aspects. On the economic front; Egypt is committed to decreasing the budget deficits and public debt achieving sustainable GDP improvement and becoming one of the world's top ten economies by 2030. Given
Intelligent Arabic-Based Healthcare Assistant
Text classification has been one of the most common natural language processing (NLP) objectives in recent years. Compared to other languages, this mission with Arabic is relatively restricted and in its early stages, and this combination in the medical application area is rare. This paper builds an Arabic health care assistant, specifically a pediatrician that supports Arabic dialects, especially
Design and Analysis of A Reliable Quadcopter UAV for Wireless Communication Purposes
Unmanned aerial vehicles (UAVs) are used for a wide range of applications, including wireless communication systems, which have the potential to provide cost-effective wireless connectivity for a wide variety of applications. The present UAV models lack the flexibility needed to carry the mission's varied payloads. As a result, appropriate design and analysis of the UAV structure are essential
Fabrication of bio-plastic composite pellets from agricultural waste and food waste
Geospatial analysis of wetlands based on land use/land cover dynamics using remote sensing and GIS in Sindh, Pakistan
In this study, the Land Use/Land Cover (LULC) change has been observed in wetlands comprises of Manchar Lake, Keenjhar Lake, and Chotiari Reservoir in Pakistan over the last four decades from 1972 to 2020. Each wetland has been categorized into four LULC classes; water, natural vegetation, agriculture land, and dry land. Multitemporal Landsat satellite data including; Multi-Spectral Scanner (MSS)