Fresh Fruit Bunch Ripeness Classification Methods: A Review by Jin Yu Goh (22046393)

“…The review focuses on identifying reliable techniques capable of real-time and accurate classification in dynamic and unstructured environments. …”

DCT-Based Channel Attention for Multivariate Time Series Classification by Amine Haboub (22392097)

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An efficient approach for textual data classification using deep learning by Abdullah Alqahtani (7128143)

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Improved Machine Learning for Multiclass Fault Classification in Industrial Processes by Khaled Dhibi (16891524)

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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

Subjects: “…Traffic classification…”
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Classification of Cognitive Workload Levels under Vague Visual Stimulation by Mahmoud, Rwan Adil Osman

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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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Fluctuations of Histone Chemical Modifications in Breast, Prostate, and Colorectal Cancer: An Implication of Phytochemicals as Defenders of Chromatin Equilibrium by Marek Samec (14727823)

Subjects: “…posttranslational chemical modifications…”

Weather modification impact on reference evapotranspiration, soil salinity and desertification in arid regions: a case study by Bader, Talat

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MODIFICATION OF STYRENE-METHYL METH ACRYLATE COPOLYMER IN THE PRESENCE OF PRISTINE AND MODIFIED GRAPHENE BY USING MICROWAVE IRRADIATION by unknown

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Seismic response modification, over-strength, and displacement amplification factors of steel special truss moment frames by Ghazal Nekouei (17792579)

“…<p dir="ltr">In this paper, the seismic design parameters of steel special truss moment frames (STMFs), including the response modification factor (R), over-strength factor (Ω) and displacement modification factor (Cd) are evaluated for two performance levels, namely life safety (LS) and collapse prevention (CP). …”

Increased cellular protein modification by methylglyoxal activates endoplasmic reticulum-based sensors of the unfolded protein response by Mingzhan Xue (3607649)

“…Correction of increased MG by increasing Glo1 expression prevented UPR activation. MG modification of proteins produces surface hydrophobicity through arginine-derived hydroimidazolone MG-H1 formation, with related protein unfolding and preferentially targets PDIs and chaperone pathways for modification. …”

Optimizing percutaneous reduction and fixation with guidewire modification in pelvic and acetabular fractures: surgical technique and case series by Aiman Mudawi (14150271)

“…However, the precise placement of the screw remains a critical challenge, necessitating a modification of the current techniques. This paper introduces a refined technique employing a modified guidewire to enhance the precision and efficiency of percutaneous fixation in pelvic and acetabular fractures.…”

PROPOSED MODIFICATIONS TO THE CIVIL ENGINEERING PROGRAM AT KFUPM TO FULFILL 2008-2009 ABET CRITERIA AND THE KFUPM PROGRAM REQUIREMENTS by Ratrout, N.T

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Biodegradable Magnesium Alloys for Biomedical Implants: Properties, Challenges, and Surface Modifications with a Focus on Orthopedic Fixation Repair by Thomas, Kevin Koshy

“…These modifications offer opportunities to improve the long-term performance of magnesium-based biomedical implants. …”
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Group Classification and Similarity Solutions of Klein Gordon Equations on a Sphere by unknown

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Deep Learning Models for Small Fruit Detection and Maturity Level Classification by unknown

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Low-Light Homomorphic Filtering Network for integrating image enhancement and classification by Al Sobbahi, Rayan

“…When embedded with a classification model, our solution achieves an average 5.5% improvement in classification accuracy, compared with the traditional pipeline of separate enhancement followed by classification. …”
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Low-Light Image Enhancement for Object Classification using Deep Learning by Al Sobbahi, Rayan

“…When embedded with a classification model, our solution achieves an average of 5.5% improvement in classification accuracy, compared with the traditional pipeline of separate enhancement followed by classification. …”
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