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K

Kenneth Omokhagbo Afebu

university of exeter

H指数:7

被引数:132

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AI-Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue

AI增强型振动胶囊用于微创检测异常肠道组织

Advanced Science

IF14.1

2026-02-170

OAAI

Towards non-visual bowel cancer diagnosis: A certainty-aware data-driven method of lesion characterisation using a vibrating capsule

迈向非视觉结直肠癌诊断：一种基于振动胶囊的病灶特征化确定性感知数据驱动方法

Engineering Applications of Artificial Intelligence

IF8

2025-10-030

OAAI

Experimental analysis of drillstring vibrations using a small-scale drilling rig

小型钻机钻柱振动实验分析

NONLINEAR DYNAMICS

IF6

2025-04-040

OA

A data-driven dynamic method of downhole rock characterisation for the vibro-impact drilling system

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2025-01-010

OA

Two-stage machine learning models for bowel lesions characterisation using self-propelled capsule dynamics

使用自推进胶囊动力学表征肠道病变的两阶段机器学习模型

NONLINEAR DYNAMICS

IF6

2023-09-083

OA

Dynamic analysis of a soft capsule robot self-propelling in the small intestine via finite element method

NONLINEAR DYNAMICS

IF6

2023-04-0410

OA

Fundamentals of Bowel Cancer for Biomedical Engineers

ANNALS OF BIOMEDICAL ENGINEERING

IF5.4

2023-02-145

OAAI

Machine learning-based rock characterisation models for rotary-percussive drilling

NONLINEAR DYNAMICS

IF6

2022-06-1612

OA

Feature-based intelligent models for optimisation of percussive drilling

NEURAL NETWORKS

IF6.3

2022-04-015

OAAI

Application and comparison of feature-based classification models for multistable impact motions of percussive drilling

基于特征的冲击钻井多稳态冲击运动分类模型的应用与比较

JOURNAL OF SOUND AND VIBRATION

IF4.9

2021-09-019

OAAI

LSTM-based approach for predicting periodic motions of an impacting system via transient dynamics

NEURAL NETWORKS

IF6.3

2021-08-0110

PREAI