Article
Environmental Sciences
Deyu An, Dingfeng Yu, Xiangyang Zheng, Yan Zhou, Ling Meng, Qianguo Xing
Summary: Large scale green macroalgae blooms caused by Ulva prolifera have been occurring regularly in the Yellow Sea since 2007. The study analyzed the spatial-temporal variation of the MAB dissipation phase in the southern Yellow Sea and proposed a simple method for estimating MAB dissipation days. The results provided important insights for evaluating the impact of green-tide on marine ecology and formulating prevention and control strategies.
Article
Biology
Wenyu Xing, Zhibin Zhu, Dongni Hou, Yaoting Yue, Fei Dai, Yifang Li, Lin Tong, Yuanlin Song, Dean Ta
Summary: Accurate segmentation of lesions in medical images is crucial for clinical diagnosis and evaluation. This study proposed a deep learning-based automatic segmentation model called CM-SegNet for segmenting medical images of different modalities. The results showed that CM-SegNet had better segmentation performance and shorter training time than previous methods, indicating its potential for faster and more accurate automatic segmentation in clinical applications.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Geochemistry & Geophysics
Guangsheng Chen, Hailiang Lu, Donglin Di, Linhui Li, Mahmoud Emam, Weipeng Jing
Summary: In this study, a deep-learning-based method called spatiotemporal fusion multilayer perceptron (StfMLP) is proposed to achieve more accurate remote-sensing image fusion with a small-scale of data. Experimental results demonstrate that the proposed method outperforms the state-of-the-art methods effectively on two public datasets.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Marine
Jing Xia, Chongxiang Li, Yiyuan Tang, Ji Li, Tingjian Wu, Jinlin Liu, Jianheng Zhang
Summary: Golden tide macroalgae in the Southern Yellow Sea have caused significant damage to the local coastal economy and ecosystems. This study identified the floating macroalgae as Sargassum horneri and discovered 28 epizoans, including four crustacean species, on the macroalgae. Further research is needed to understand the role of these epizoans in the golden tide and their ecological significance.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Optics
Jun Tang, Junnan Jiao, Ziyi Suo, Yuru Liu, Yingcheng Lu
Summary: Optical remote sensing is crucial for detecting and quantifying floating macroalgae. This study investigated the effect of the sensor zenith angle on the quantification of green tides. The research found that as the sensor zenith angle increases, the optical signals from algae pixels weaken, leading to a decrease in the quantification of green tides.
Article
Geosciences, Multidisciplinary
Fucang Zhou, Jianzhong Ge, Dongyan Liu, Pingxing Ding, Changsheng Chen, Xiaodao Wei
Summary: The study developed a physical-ecological model, FMGDM, to predict the dynamic growth and drift pattern of floating macroalgae based on Lagrangian particle tracking and ocean ecological processes. By simulating the green tide around the Yellow Sea in 2014 and 2015, the model was shown to accurately predict the spatial and temporal development of the blooms with a 7-8 day forecast window, demonstrating its effectiveness and robustness in forecasting floating macroalgal blooms.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Engineering, Multidisciplinary
Juan Wang, Feng Gu
Summary: This paper proposes an automatic error correction method for English composition grammar based on a multilayer perceptron. By extracting grammatical features and conducting network learning and training, the method can effectively improve the timeliness and recall rate of error detection.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Computer Science, Information Systems
Abul Doulah, Tonmoy Ghosh, Delwar Hossain, Masudul H. Imtiaz, Edward Sazonov
Summary: A novel wearable sensor AIM-2 was proposed in the study, which can accurately capture food intake images, reduce the number of images for analysis, and alleviate privacy concerns of users.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Multidisciplinary Sciences
Fereshteh Ramezani, Sheikh Parvez, J. Pierce Fix, Arthur Battaglin, Seamus Whyte, Nicholas J. Borys, Bradley M. Whitaker
Summary: Computer vision algorithms analyze images to identify useful information accurately. They have been applied to identify 2D materials in microscope images. 2D materials, like hexagonal boron nitride (hBN), have important properties that make them useful in various applications, including quantum information science.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Hardware & Architecture
Abdelkrim Semmad, Mohammed Bahoura
Summary: This paper proposes a serial hardware architecture for real-time wheezing detection in respiratory sounds using a multilayer perceptron (MLP) neural network. The proposed architecture is fully scalable and uses a single calculation unit regardless of the number of neurons in the MLP network. It has been implemented on a low-cost and power-efficient FPGA chip using a high-level programming tool and achieves the same classification performances as the parallel architecture but with fewer hardware resources.
MICROPROCESSORS AND MICROSYSTEMS
(2023)
Article
Chemistry, Analytical
Khamael Al-Dulaimi, Jasmine Banks, Aiman Al-Sabaawi, Kien Nguyen, Vinod Chandran, Inmaculada Tomeo-Reyes
Summary: This paper proposes a method based on multi-class multilayer perceptron technique to classify HEp-2 stained cells into six classes. The method calculates the variation in higher order spectra features of cell shape information by adding a new hidden layer and uses Softmax activation function to calculate the probability of classification. Extensive experimental analysis on datasets from ICPR-2014 and ICPR-2016 competitions demonstrates that the proposed method outperforms existing methods.
Article
Optics
Wei Xu, Weihe Xu, Nathalie Bouet, Juan Zhou, Hanfei Yan, Xiaojing Huang, Lei Huang, Ming Lu, Maxim Zalalutdinov, Yong S. Chu, Evgeny Nazaretski
Summary: We have developed a new machine-learning-based approach for automatically measuring small angles between multiple planar surfaces characterized by white light interferometers. This method utilizes an unsupervised clustering algorithm to identify the distinct surfaces in interferometer images and calculates the angles between them through surface fitting. The method simplifies the angle measurement procedure and has been successfully applied to the alignment of 2D Multilayer Laue Lenses (MLLs) for high-resolution x-ray microscopy, demonstrating its automatic, accurate, and robust small-angle measurement capabilities.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Reenadevi Rajendran, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, Sankar Sennan
Summary: Breast cancer is the second most common malignant tumor worldwide, and early detection improves treatment effectiveness. Computer-aided diagnosis helps radiologists make better choices by overcoming the shortcomings of manual methods. Feature selection is an important step in breast cancer diagnosis. This study proposes a hybrid optimization algorithm that combines the grasshopper optimization algorithm and the crow search algorithm for feature selection and classification of breast masses.
COMPUTATIONAL INTELLIGENCE
(2022)
Article
Oceanography
M. H. Sakib, A. H. A. Rashid, C-S Yang
Summary: This study aims to detect macroalgal bloom in the Yellow Sea by comparing NDVI performance between GOCI and Landsat-8 sensors. The largest MAB in 2018 was identified along the coast of Sheyang and Qingdao of China. In consecutive years, MABs occurred in nearby areas during the initial phase and reached the shoreline of Qingdao.
INDIAN JOURNAL OF GEO-MARINE SCIENCES
(2021)
Article
Computer Science, Theory & Methods
Mutammimul Ula, Muhathir, Ilham Sahputra
Summary: Pneumonia is a common illness that is difficult to recognize. The study uses a multilayer perceptron and SURF feature extraction to classify pneumonia and analyze the impact of learning rate and momentum on accuracy.
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2022)
Article
Environmental Sciences
Yuan Shi, Alexis Kai-Hon Lau, Edward Ng, Hung-Chak Ho, Muhammad Bilal
Summary: The study focuses on the issue of poor air quality in large high-density cities worldwide, particularly in Asia. Utilizing the land use regression model, the research integrates air quality data, satellite data, meteorological data, and spatial data, conducting modeling independently at city and neighborhood scales. The city-scale model shows better prediction performance, while building morphological indices and road network centrality metrics are effective indicators for PM2.5 spatial estimation at the neighborhood scale.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Shah Zaib, Jianjiang Lu, Muhammad Bilal
Summary: In recent years, air pollution in China has become a serious threat, causing adverse health effects and premature deaths. This study examines the spatial-temporal characteristics of air quality in five provinces of northwest China from 2015 to 2018. The results show that the levels of particulate matter (PM2.5 and PM10) exceeded the Chinese standards and increased over the years. The study also found variations in the types and levels of pollutants in different seasons and regions.
Article
Chemistry, Multidisciplinary
Ziyue Zhang, Bo Su, Yuanyuan Chen, Jinjing Lan, Muhammad Bilal, Miaomiao Pan, Sana Ilyas, Khaled Mohamed Khedher
Summary: The optical characteristics of vertically distributed aerosols over Saudi Arabia were studied using CALIPSO data from 2007 to 2019. The study found that the aerosol optical depth (AOD) was highest in the eastern region, driven by the presence of a desert. AOD was higher in spring and summer and during daytime. The aerosol layers and volume depolarization ratio varied across different regions.
APPLIED SCIENCES-BASEL
(2022)
Article
Meteorology & Atmospheric Sciences
Md Wahiduzzaman, Md Arfan Ali, Kevin Cheung, Jing-Jia Luo, Tang Shaolei, Prasad K. Bhaskaran, Chaoxia Yuan, Muhammad Bilal, Zhongfeng Qiu, Mansour Almazroui
Summary: This study evaluated the impact of aerosols and climate modes on tropical cyclone frequency in the North Indian Ocean. It found strong linkages between TC activity and the Atlantic meridional mode, Indian Ocean dipole, and El Nino-Southern Oscillation. Certain aerosols, such as black carbon, organic carbon, sea salt, and sulfate, had a significant impact on cyclone frequency.
JOURNAL OF CLIMATE
(2022)
Editorial Material
Water Resources
Takeshi Takama, Muhammad Bilal, K. Srinivasa Raju
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Environmental Sciences
Shenxin Li, Sedra Shafi, Bin Zou, Jing Liu, Ying Xiong, Bilal Muhammad
Summary: This study investigates the relationship between PM2.5 air pollution and its population-weighted exposure level in the Belt and Road region. The findings suggest that developing countries have the most severe PM2.5 pollution, while least developed countries have the fastest increase. The key regions at high risk are mainly located in India, Pakistan, Bangladesh, and China.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Geosciences, Multidisciplinary
Md Arfan Ali, Muhammad Bilal, Yu Wang, Zhongfeng Qiu, Janet E. Nichol, Gerrit de Leeuw, Song Ke, Alaa Mhawish, Mansour Almazroui, Usman Mazhar, Birhanu Asmerom Habtemicheal, M. Nazrul Islam
Summary: Rapid industrialization, urbanization, and population growth in China have contributed significantly to air pollution. Evaluating long-term aerosol optical depth (AOD) data can enhance our understanding of spatiotemporal variations in air pollution. This study compared AOD values from different sources and found better correlations between MERRA-2 reanalysis AOD and MODIS DTB AOD than between CMIP6 AOD and MODIS DTB AOD in most regions of China. The study also observed increasing trends in AOD from 2000 to 2014, with air pollution control policies during the 12th Five Year Plan showing a greater reduction in AOD compared to the 11th Five Year Plan.
GEOSCIENCE FRONTIERS
(2022)
Article
Environmental Sciences
Gemine Vivone, Alberto Arienzo, Muhammad Bilal, Andrea Garzelli, Gelsomina Pappalardo, Simone Lolli
Summary: Natural and anthropogenic aerosol emissions have a significant impact on solar radiation, air quality, cloud lifetime, and precipitation patterns. Therefore, accurately assessing aerosol variability is crucial for forecasting future scenarios and implementing mitigation strategies. This paper presents a novel aerosol optical depth retrieval algorithm for urban environments, which leverages multi-wavelength data and Kalman filters to improve estimation accuracy. The proposed method demonstrates strong agreement with ground-based measurements and outperforms the baseline approach.
Letter
Engineering, Environmental
Muhammad Bilal, Gerrit de Leeuw, Janet E. Nichol, Max P. Bleiweiss, Alaa Mhawish, Leiku Yang, Huabin Chai, Md. Arfan Ali
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Environmental Sciences
Mozhgan Bagherinia, Siamak Bodaghpour, Neamat Karimi, Fatemeh Ghasempour, Muhammad Bilal, Alaa Mhawish
Summary: Based on ground-based and satellite-based data, spatio-temporal analyses of air quality in Tehran during the lockdown periods in 2020 and 2021 were conducted. The study evaluated the differences in emissions of six air pollutants at different time scales. The results showed a decrease in pollution levels in 2020 compared to the baseline period, but a smaller reduction in 2021 and an increase in PM2.5 and PM10 levels. Satellite-based concentrations varied compared to the pre-lockdown year, with consistent trends in AOD during dust events in March and April.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Miao Zhang, Shiyong Chen, Xingang Zhang, Si Guo, Yunuo Wang, Feifei Zhao, Jinhan Chen, Pengcheng Qi, Fengxian Lu, Mingchun Chen, Muhammad Bilal
Summary: The purpose of this study is to investigate the air quality levels of Nanyang city according to Chinese air quality standards. The study analyzed the concentrations of fine particulate matter (PM2.5), coarse particulate matter (PM10), and total suspended particulate (TSP) from 19 November 2021 to 19 March 2022 in Nanyang city. The results showed that the air quality in Nanyang city remains polluted in winter, with higher concentrations of PM2.5 compared to PM10 and TSP. Vehicular emissions were identified as a major cause of air pollution in the city, and there was a positive correlation between particulate matter and relative humidity.
Editorial Material
Medicine, General & Internal
Muhammad Bilal, Gerrit de Leeuw, Janet E. Nichol, Max P. Bleiweiss, Leiku Yang, Huabin Chai, Alaa Mhawish, Md Arfan Ali
ANNALS OF MEDICINE AND SURGERY
(2022)
Article
Remote Sensing
Majid Nazeer, Mohammad M. M. Alsahli, Janet Elizabeth Nichol, Jiayi Pan, Weicheng Wu, Muhammad Bilal, Urooj Saeed
Summary: The overgrowth of algae in aquatic ecosystems is a serious threat, and it has been increasing due to human activities. To protect and sustain these ecosystems, it is crucial to understand how the aquatic environment promotes algae growth through comprehensive monitoring. We propose a novel Three band Macroalgae Index (TMI) using Landsat-8 Operational Land Imager (OLI) to detect and monitor algae overgrowth in aquatic ecosystems.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Environmental Sciences
Miao Zhang, Si Guo, Yunuo Wang, Shiyong Chen, Jinhan Chen, Mingchun Chen, Muhammad Bilal
Summary: A ground-based dual-wavelength lidar system was used to investigate the vertical distribution of aerosol optical characteristics in Nanyang City. The results showed higher aerosol loadings and variations at different altitudes on polluted days compared to non-polluted days. The study also found that aerosol optical depth values were ten times larger on polluted days than non-polluted days.
Article
Ecology
Umesh Chandra Dumka, Panagiotis G. Kosmopoulos, Effrosyni Baxevanaki, Dimitris G. Kaskaoutis, Muhammad Nurul Huda, Md Firoz Khan, Muhammad Bilal, Balram Ambade, Sujan Khanal, Pavel Munshi
Summary: This study estimates the radiative forcing by biomass burning and dust aerosols over the Indian subcontinent, highlighting the importance of growing biomass burning for climate change and air quality in the region.