Energy efficiency for green internet of things (IoT) networks: A survey

L Farhan, RS Hameed, AS Ahmed, AH Fadel, W Gheth… - Network, 2021 - mdpi.com
The last decade has witnessed the rise of the proliferation of Internet-enabled devices. The
Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever …

[PDF][PDF] Human nail diseases classification based on transfer learning

J Abdulhadi, A Al-Dujaili, AJ Humaidi… - ICIC Express …, 2021 - researchgate.net
Diseases of human nails are a kind of deformities in nails. Nail has its own various class of
diseases, which have their own set of symptoms, signs, causes and effects that may or may …

[PDF][PDF] Identifying corn leaves diseases by extensive use of transfer learning: a comparative study

AS Hatem, MS Altememe, MA Fadhel - Indonesian Journal of …, 2023 - academia.edu
Deep learning is currently playing an important role in image analysis and classification.
Diseases in maize diminish productivity, which is a major cause of economic damages in the …

Enhanced MIMO CSI Estimation Using ACCPM with Limited Feedback

A Al-Asadi, IRK Al-Saedi, SK Alwane, H Li, L Alzubaidi - Sensors, 2023 - mdpi.com
Multiple Input and Multiple Output (MIMO) is a promising technology to enable spatial
multiplexing and improve throughput in wireless communication networks. To obtain the full …

Maize disease classification using transfer learning and convolutional neural network with weighted loss

K Ahadian, N Yudistira, B Rahayudi, AH Basori… - Heliyon, 2024 - cell.com
Maize stands out as a versatile commodity, finding applications in food and animal feed
industries. Notably, half of the total demand for maize is met through its utilization as animal …

Blind Matching Filtering Algorithm for Spectrum Sensing under Multi-Path Channel Environment

C Zhang, J Li, B Li, W Ma - Electronics, 2023 - mdpi.com
Matching filtering has been proven to be the optimal spectrum sensing algorithm under
Gaussian white noise. However, the application of this algorithm is limited because of its …

A comparative study of deep learning efficiency in the classification of electrical faults of permanent magnet synchronous motor

H Ziad, AQ Al-Dujaili, AJ Humaidi - International Review of Applied …, 2024 - akjournals.com
Abstract Permanent Magnet Synchronous Motors (PMSMs) are widely used in modern
industrial applications due to their high efficiency, reliability, and compact size. However …

Electrical faults classification in permanent magnet synchronous motor using ResNet neural network

H Ziad, A Al-dujaili, AJ Humaidi - International Review of Applied …, 2024 - akjournals.com
The predictive maintenance of permeant magnet synchronous motor is highly required as
this kind of motor has been commonly employed in electric vehicles, industrial systems, and …

Adaptive Spectrum Sensing in Cognitive Radio Employing Multitaper Method and Higher-Order STBC Techniques

AOA Salam, RE Sheriff, SR Al-Araji… - Engineering Science …, 2025 - ojs.wiserpub.com
The effects of the non-parametric multitaper method (MTM) and symmetrical higher-order
space-time block-code (STBC) with full diversity techniques on the performance of spectrum …

[PDF][PDF] High-Performance and Energy-Efficient FIR Filter Architecture using Parallel Prefix Adder-based Triangular Common Subexpression Elimination Algorithm for …

SV Canchipur, I West, RD Kulkarni, EY Alhawsawi… - researchgate.net
Wireless sensor networks (WSN) generate an enormous quantity of data, which necessitates
preprocessing at the source to lower the entire amount of data collected for transmission and …