Findings and perspectives of β-Ti alloys with biomedical applications: Exploring beyond biomechanical and biofunctional behaviour حسب Elhadad, Amir A.

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Impact of synergistic interfacial modification on the electrochemical performance of LiNi0.5Mn1.5O4 cathode materials حسب Z.A. Qureshi (18180484)

"…Here, we document the enhancement in the electrochemical performance of LNMO by surface modification utilizing a combination of Al₂O₃ coating and Graphene enveloping employing a facile wet synthesis technique. …"

Transcriptomic profiling disclosed the role of DNA methylation and histone modifications in tumor-infiltrating myeloid-derived suppressor cell subsets in colorectal cancer حسب Varun Sasidharan Nair (5396393)

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Impact of synergistic interfacial modification on the electrochemical performance of LiNi0.5Mn1.5O4 cathode materials حسب Qureshi, Z.A.

"…Here, we document the enhancement in the electrochemical performance of LNMO by surface modification utilizing a combination of Al2O3 coating and Graphene enveloping employing a facile wet synthesis technique. …"
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through quantification of mean reflectivity حسب Masri, Oussama Samer

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GENERALIZABLE AND SELECTIVE 2D/3D DEEP-MODEL FOR MULTI-VIEW OBJECT CLASSIFICATION حسب unknown

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Explainable Deep Learning Based Viral Sequence Classification and Potential Threat Identification for Biosecurity Surveillance حسب unknown

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ADAPTIVE FUZZY LOGIC BASED FRAMEWORK FOR HANDLING IMPRECISION AND UNCERTAINTY IN PATTERN CLASSIFICATION OF BIOINFORMATICS DATASETS حسب Rasheed, Zeehasham

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Group Classification and Symmetry Reductions for a Class of Nonlinear Poisson Equations on the Line and Certain Surfaces حسب unknown

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An in vitro study of the interactive effect of 24 binary and ternary mixtures from the GHS classification groups حسب Khalil, C.

"…An in vitro study of the interactive effect of 24 binary and ternary mixtures from the GHS classification groups. ALTEX, 22, 128.…"
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A Terrain classification system for coseismic landslide hazard analysis: Lebanon, a case study حسب Grant, Alex R.

"…To better assess coseismic landslide hazard on a regional scale a new terrain classification system is proposed. First, the landscape is divided into classes based on possible modes of failure, defining kinematically admissible regions, followed by mode-of-failure specific hazard analyses (strength admissibility) within each region. …"
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Binary Classification of 3D Small-Scale Medical Images Using Video Vision Transformers حسب Abi Younes, Simon

"…The VesselMNIST3d dataset binary classification experiment was implemented by treating the 3D image as video where the third dimension represents the number of frames. …"
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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network حسب Khadija Manzoor (22565369)

الموضوعات:

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models حسب Meena Malik (17542089)

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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection حسب Faizul Rakib Sayem (21399890)

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A collection of annotated and harmonized human breast cancer transcriptome datasets, including immunologic classification حسب Jessica Roelands (7516439)

"…We classified the samples according to different immune based classification systems and integrated this information into the datasets. …"

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

الموضوعات:

AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain حسب Amine Haboub (22392097)

الموضوعات:

Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques حسب Vinod Kumar (48743)

الموضوعات:

CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification حسب Md Rabiul Islam (6424796)

"…CAT-Net establishes new benchmarks, achieving 99.14% overall accuracy and 94.69% macro F1 score on 5-class arrhythmia classification in the MIT-BIH dataset and 99.58% accuracy with 96.15% macro F1 score for 3-class classification in the INCART dataset.…"