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Review and novel contributions to amplifier-based oscillator design

This paper reviews amplifier-based oscillator topologies and introduces new ones while reporting all possible circuits that can be obtained from some of them using exhaustive searching. Second-order as well as third-order RC and RLC oscillators are reported and selected circuits are designed and experimentally verified. Incorporating non-ideal and nonlinear effects into the modeling of these

Circuit Theory and Applications
Mechanical Design

Analysis of plasmonic nanoparticles effects on the performance of perovskite solar cells through surface recombination and short-circuiting behaviors

Plasmonic photovoltaics integrate nanoparticles into the active layer to enhance power absorption. However a gap exists between simulated and experimental IV characteristics. Fabrication studies have attributed the issues to fabrication resolution, and recombination with no detailed step-by-step characterization. To address this issue, the paper presents a comprehensive optical and electrical

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Mechanical Design

A note on the bandwidth of negative group delay filters

An updated definition of group delay bandwidth in analog filters is introduced in this work. Unlike existing definitions, this new definition considers simultaneously the value of the group delay and filter gain, leading to minimized distortion in the filter output. In addition, it offers the capability of handling wide-band signals without introducing errors in the shape of their envelopes

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Reconfigurable hardware implementation of K-nearest neighbor algorithm on FPGA

Nowadays, Machine Learning is commonly integrated into most daily life applications in various fields. The K Nearest Neighbor (KNN), which is a robust Machine Learning algorithm, is traditionally used in classification tasks for its simplicity and training-less nature. Hardware accelerators such as FPGAs and ASICs are greatly needed to meet the increased requirements of performance for these

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications

Indoor Air Quality Monitoring Systems for Sustainable Medical Rooms and Enhanced Life Quality

Indoor air pollution poses a substantial risk to human health and well-being, underscoring the crucial requirement for efficient monitoring systems. This paper introduces an advanced Air Pollution Monitoring System (APMS) tailored explicitly for indoor settings. The APMS integrates sensors and a user interface, ensuring the delivery of real-time and precise data concerning air quality parameters

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Software and Communications

Commercial Versus Natural Activated Carbon Fabricated Sheets: Applied to Dyes Removal Application

Industrial dyes are considered one of the main causes of increased water pollution of water. Many businesses, such as steel and paper, are located along riverbanks because they require large amounts of water in their manufacturing processes, and their wastes, which contain acids, alkalis, dyes, and other chemicals, are dumped and poured into rivers as effluents. For example, chemical enterprises

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Software and Communications
Agriculture and Crops
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

Secure blind watermarking using Fractional-Order Lorenz system in the frequency domain

This paper investigates two different blind watermarking systems in the frequency domain with the development of a Pseudo Random Number Generator (PRNG), based on a fractional-order chaotic system, for watermark encryption. The methodology is based on converting the cover image to the YCbCr color domain and applying two different techniques of frequency transforms, Discrete Cosine Transform (DCT)

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications

Fractional-Order Equivalent-Circuit Model Identification of Commercial Lithium-Ion Batteries

The precise identification of electrical model parameters of Li-Ion batteries is essential for efficient usage and better prediction of the battery performance. In this work, the model identification performance of two metaheuristic optimization algorithms is compared. The algorithms in comparison are the Marine Predator Algorithm (MPA) and the Partial Reinforcement Optimizer (PRO) to find the

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications

Retraction Note: Hybrid rough-bijective soft set classification system (Neural Computing and Applications, (2018), 29, 8, (67-78), 10.1007/s00521-016-2711-z)

Retraction to: Neural Comput & Applic (2018) 29:67–78https://doi.org/10.1007/s00521-016-2711-z. The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and

Artificial Intelligence
Circuit Theory and Applications

Enhanced removal of crystal violet using rawfava bean peels, its chemically activated carbon compared with commercial activated carbon

Crystal violet is a basic dye that is widely used by various industries, such as textiles and paints. These industries discharge their effluents, contaminated with crystal violet, into water streams, and these effluents have an adverse effect on aquatic organisms, the environment, and human health. Crystal violet is a basic dye that is widely used by various industries, such as textiles and paints

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications