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N
Namal Rathnayake
Advanced Institute for Marine Ecosystem Change
15
H指数
56
论文数
750
被引数
0
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21
发表时间
发表时间
IF
被引数
Explainable AI for public health surveillance: investigating the persistent crisis of intentional injury mortality (suicide and homicide) in the Americas
可解释人工智能在公共卫生监测中的应用:探究美洲地区故意伤害死亡率(自杀和凶杀)的持续危机
Scientific Reports
IF
3.9
2026-05-24
0
OA
AI
Sherin Kularathne; Namal Rathnayake; Ruwan Jayathilaka; Iori Nakaoka; Yukinobu Hoshino
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Beyond wind speed: Integrating oceanic indices and time-lagged features for superior wind energy prediction (vol 21, e0344167, 2026)
超越风速:整合海洋指数和时间滞后特征以实现更优的风能预测(卷 21,e0344167,2026)
PLoS One
IF
2.6
2026-04-14
0
PRE
AI
Rathnayake, Namal; Yadav, Mahesh; Jayasinghe, Jeevani; Rathnayake, Upaka; Minamide, Masashi; Hoshino, Yukinobu
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Machine Learning Approaches for Simulating Temporal Changes in Bed Profiles Around Cylindrical Bridge Pier: A Comparative Analysis
模拟圆柱形桥墩周围床面剖面随时间变化过程的机器学习方法:一项比较分析
Hydrology 2025, Vol. 12, Page 238
IF
0
2025-09-30
0
OA
AI
Ahad Molavi; Fariborz Ahmadzadeh Kaleybar; Namal Rathnayake; Upaka Rathnayake; Mehdi Fuladipanah; Hazi Mohammad Azamathulla
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UFR-GAN: A lightweight multi-degradation image restoration model
UFR-GAN:一种轻量级多退化图像恢复模型
Pattern Recognition Letters
IF
3.3
2025-08-25
0
PRE
AI
Binh An Nguyen; Minh Bao Kha; Duc Manh Dao; Huu Kien Nguyen; My Duyen Nguyen; The Vu Nguyen; Namal Rathnayake; Yukinobu Hoshino; Tuan Linh Dang
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Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield
可解释人工智能在估计斯里兰卡(锡兰)茶叶产量中的应用
SMART AGRICULTURAL TECHNOLOGY
IF
5.7
2025-06-11
0
OA
AI
Mampitiya, Lakindu; Sumanasekara, Harindu S.; Rathnayake, Namal; Hoshino, Yukinobu; Rathnayake, Upaka
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A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation
一种基于可解释机器学习(SHAP和LIME)预测甘蓝种植中土壤N、P和K养分含量的新应用
SMART AGRICULTURAL TECHNOLOGY
IF
5.7
2025-06-11
0
OA
AI
Abekoon, Thilina; Sajindra, Hirushan; Rathnayake, Namal; Ekanayake, Imesh U.; Jayakody, Anuradha
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Enhancing Water Level Prediction Using Ensemble Machine Learning Models: A Comparative Analysis
使用集成机器学习模型增强水位预测的比较分析
WATER RESOURCES MANAGEMENT
IF
4.7
2025-02-11
2
PRE
AI
Alsulamy, Saleh; Kumar, Vijendra; Kisi, Ozgur; Kedam, Naresh; Rathnayake, Namal
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Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature
使用机器学习模型推进水质评估和预测,再加上可解释的人工智能 (XAI) 技术,如shapley加法解释 (SHAP),用于解释黑盒性质
RESULTS IN ENGINEERING
IF
7.9
2024-09-01
14
OA
AI
Makumbura, Randika K.; Mampitiya, Lakindu; Rathnayake, Namal; Meddage, D. P. P.; Henna, Shagufta; Dang, Tuan Linh; Hoshino, Yukinobu; Rathnayake, Upaka
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AI-driven predictions of geophysical river flows with vegetation
SCIENTIFIC REPORTS
IF
3.9
2024-07-16
1
OA
AI
Kumar, Sanjit; Agarwal, Mayank; Deshpande, Vishal; Cooper, James R.; Khosravi, Khabat; Rathnayake, Namal; Hoshino, Yukinobu; Kantamaneni, Komali; Rathnayake, Upaka
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Human-inspired similarity control system: Enhancing line-following robot perception
APPLIED SOFT COMPUTING
IF
6.6
2024-07-01
0
OA
AI
Hoshino, Yukinobu; Nishiyama, Yuka; Yamamoto, Toshimi; Shinomiya, Yuki; Rathnayake, Namal; Dang, Tuan Linh
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Artificial intelligence to predict soil temperatures by development of novel model
通过开发新模型来预测土壤温度的人工智能
SCIENTIFIC REPORTS
IF
3.9
2024-04-30
6
OA
AI
Mampitiya, Lakindu; Rozumbetov, Kenjabek; Rathnayake, Namal; Erkudov, Valery; Esimbetov, Adilbay; Arachchi, Shanika; Kantamaneni, Komali; Hoshino, Yukinobu; Rathnayake, Upaka
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Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10
JOURNAL OF HAZARDOUS MATERIALS ADVANCES
IF
7.7
2024-02-01
11
OA
AI
Mampitiya, Lakindu; Rathnayake, Namal; Hoshino, Yukinobu; Rathnayake, Upaka
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Cascaded-ANFIS to simulate nonlinear rainfall-runoff relationship
APPLIED SOFT COMPUTING
IF
6.6
2023-11-01
11
PRE
AI
Rathnayake, Namal; Rathnayake, Upaka; Chathuranika, Imiya; Dang, Tuan Linh; Hoshino, Yukinobu
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Machine Learning Techniques to Predict the Air Quality Using Meteorological Data in Two Urban Areas in Sri Lanka
ENVIRONMENTS
IF
3.7
2023-08-08
24
OA
AI
Mampitiya, Lakindu; Rathnayake, Namal; Leon, Lee P.; Mandala, Vishwanadham; Azamathulla, Hazi Md.; Shelton, Sherly; Hoshino, Yukinobu; Rathnayake, Upaka
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Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka
SENSORS
IF
3.5
2023-04-02
8
OA
AI
Herath, Madhawa; Jayathilaka, Tharaka; Azamathulla, Hazi Mohammad; Mandala, Vishwanadham; Rathnayake, Namal; Rathnayake, Upaka
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Age Classification of Rice Seeds in Japan Using Gradient-Boosting and ANFIS Algorithms
使用梯度提升和ANFIS算法对日本水稻种子进行年龄分类
SENSORS
IF
3.5
2023-03-05
2
OA
AI
Rathnayake, Namal; Miyazaki, Akira; Dang, Tuan Linh; Hoshino, Yukinobu
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Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka
IEEE ACCESS
IF
3.6
2023-01-01
12
OA
AI
Rathnayake, Namal; Rathnayake, Upaka; Chathuranika, Imiya; Dang, Tuan Linh; Hoshino, Yukinobu
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Brain Activity Associated with the Planning Process during the Long-Time Learning of the Tower of Hanoi (ToH) Task: A Pilot Study
SENSORS
IF
3.5
2022-10-28
7
OA
AI
Mitani, Keita; Rathnayake, Namal; Rathnayake, Upaka; Dang, Tuan Linh; Hoshino, Yukinobu
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An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS Algorithm
SENSORS
IF
3.5
2022-06-10
13
OA
AI
Rathnayake, Namal; Rathnayake, Upaka; Tuan Linh Dang; Hoshino, Yukinobu
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A Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower Forecasting
SENSORS
IF
3.5
2022-04-10
16
OA
AI
Rathnayake, Namal; Rathnayake, Upaka; Tuan Linh Dang; Hoshino, Yukinobu
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研究方向
暂时未获取到该数据
合作学者
合作期刊
Ö
Özgür Kişi
H 指数: 106 · 论文数: 694
A
Akira Miyazaki
H 指数: 53 · 论文数: 567
K
Khabat Khosravi
H 指数: 53 · 论文数: 151
H
Hazi Mohammad Azamathulla
H 指数: 47 · 论文数: 219
U
Upaka Rathnayake
H 指数: 35 · 论文数: 280
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