Laith H. Jasim Alzubaidi

A Real-Time GUI Platform for Neural Signal Transmission: Design, Resource Profiling, and Usability

Laith H. Jasim Alzubaidi, Yaghoub Farjami, Mohsen Akbarpour Beni

Neural decoding systems often achieve strong offline performance, yet many fail to translate that performance into reliable real-time operation due to fragmented pipelines, limited reproducibility, and insufficient visibility into computational costs. This paper presents a real-time graphical user interface (GUI) platform for …

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Noise‐Resilient Hybrid ESN ‐ LSTM Pipeline for Neural Signal Transmission

Laith H. Jasim Alzubaidi, Yaghoub Farjami, Mohsen Akbarpour Beni

ABSTRACT Dependable transfer of brain signals from motor imagery EEG must adhere to strict latency and memory constraints while maintaining accuracy in the face of noise and drift. A hybrid Echo State Network‐Long Short‐Term Memory (ESN‐LSTM) pipeline is shown here. This pipeline …

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Retraction Note: Advancing therapeutic efficacy: nanovesicular delivery systems for medicinal plant-based therapeutics

Mohamed J. Saadh, Mohammed Ahmed Mustafa, Sanjay Kumar, Pooja Gupta et autres

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Applications, challenges and future of wireless sensors in internet of things

Kirandeep Kaur, Prabhjot Singh, Shruti Sharma, Laith H. Jasim Alzubaidi

With the rise of massive machine-type communications (MTC) as one of the most significant use cases in fifth-generation (5G) cellular networks, the Internet of Things has accelerated tremendously. The most significant part of any IoT device is its sensor. Sensors have been …

Impact of interlayer and capping layer on interfacial characteristics tuning in silicon heterojunction solar cells: A critical review

Alaa Nihad Tuama, Zahraa N. Salman, Raad Shaker Alnayl, Khalid Haneen Abass et autres

iq, ba, my (code pays fourni par la source)

Automating sustainable manufacturing: optimizing eco-friendly geopolymer bricks with plastic waste and curing conditions

Md. Zia Ul Haq, Shelesh Krishna Saraswat, A. K. Dasarathy, Rakesh Kumar et autres

This research examines the influence of plastic waste, curing conditions and durations on geopolymer bricks, providing valuable insights for the development of environmentally friendly building materials. This study investigates the impact of plastic waste (PW) incorporation, curing conditions and duration on the …

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Spatially coherent control of optical torque generation in semiconductor quantum wells

Mohammed Saad Al-Ghamdi, K S Kiran, Aman Shankhyan, Ibrokhim B. Sapaev et autres

This study investigates the induced torque on a quantum well (QW) system under the influence of optical vortex beams, exploring its dependence on various system parameters. Numerical simulations reveal distinct behaviors of the torque function concerning detunings, coupling field intensity, decay rates, …

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Electron donors' approach to enhance photocatalytic hydrogen production of TiO2: a critical review

Alaa Nihad Tuama, Khalid Haneen Abass, Bahaa H. Rabee, Raad Shaker Alnayl et autres

iq, my (code pays fourni par la source)

Optimization of variables for cadmium and copper removal using magnetic nanocomposite

Chou‐Yi Hsu, Mohammed Ahmed Mustafa, Ghadir Kamil Ghadir, Pooja Bansal et autres

Abstract This study aims to investigate cadmium and copper ultrasound-assisted removal efficiency on a laboratory scale using a cobalt ferrite/activated carbon (COF/AC) composite as an adsorbent. For this purpose, the effect of four independent variables (i.e., composite amount, pH, heavy metal concentrations, …

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License Plate Recognition Model based on Improved YOLOv5 and Convolutional LSTM

Laith H. Jasim Alzubaidi, M. Rajendiran, Khalid Nazim Abdul Sattar, Leo Gertrude David et autres

An end-to-end deep learning model is proposed in this research, for licence plate recognition (LPR) and identification in natural circumstances, which addresses the accuracy and speed limitations of standard licence plate recognition approaches. By adding a better channel attention mechanism and including …

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Synergistic Effect Strategies of the Water-Splitting Photocatalyst Performance in MXenes Coupled System: A Critical Review

Alaa Nihad Tuama, Forat Hamzah Alsultany, Laith H. Jasim Alzubaidi, Khalid Haneen Abass et autres

iq (code pays fourni par la source)

Revolutionizing Talent Acquisition in Human Resources with Advanced Deep Learning-Based Resume Screening and Candidate Matching Algorithms

Dilli Ganesh V, Tulovov Erkinjon, Laith H. Jasim Alzubaidi, K. Vijayakumar et autres

In general, this paper outlines a research agenda to transform the approach to talent management in HR using deep learning strategies for enhanced resume analysis and candidate matching. The above work proposed and developed a system that exploits the most advanced tools …

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