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世界建筑导报 2016年第6期31卷 94-96页

作者： Patrick Bingham.hall(摄影) 无不详 w0ha

这栋36层楼高的住宅楼坐落于城市中心高楼区的边缘,居民的视野能够越过面前低矮建筑群看到远处的自然保护区。该项目探索了在热带环境里的高层住宅实现方法。塔楼将几种环保设计融入到了当代建筑构成当中,为城市的天际线增添了一种新的... 详细信息

这栋36层楼高的住宅楼坐落于城市中心高楼区的边缘,居民的视野能够越过面前低矮建筑群看到远处的自然保护区。该项目探索了在热带环境里的高层住宅实现方法。塔楼将几种环保设计融入到了当代建筑构成当中,为城市的天际线增添了一种新的现代环保高楼模式。

关键词：新加坡城市中心环保设计自然保护区高层住宅热带环境建筑构成住宅楼

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优景苑新加坡

世界建筑导报 2016年第6期31卷 90-93页

作者： Patrick Bingham-hall(摄影) 无不详 w0ha

拥有210个公寓单位的优景苑地处乌节路/斯科特路核心商圈的西端,四周被＂黑白洋楼＂（东南亚特有的黑白色调殖民地风格洋楼）群和一片20英亩的保护区林地所环绕。整个公寓被视作＂良木自然保护区＂的延伸,两栋12层高的L形住宅楼在在其2.... 详细信息

拥有210个公寓单位的优景苑地处乌节路/斯科特路核心商圈的西端,四周被＂黑白洋楼＂（东南亚特有的黑白色调殖民地风格洋楼）群和一片20英亩的保护区林地所环绕。整个公寓被视作＂良木自然保护区＂的延伸,两栋12层高的L形住宅楼在在其2.5英亩的基地内交错排列,确保了每户居民都能通过一层热带建筑幕墙欣赏到保护区内的绿意。

关键词：新加坡自然保护区建筑幕墙斯科特殖民地东南亚住宅楼公寓

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Applying wide & Deep Learning Model for Android Malware Classification

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Computer Systems Science & Engineering 2023年第6期45卷 2741-2759页

作者： Le Duc Thuan Pham Van Huong Hoang Van Hiep Nguyen Kim Khanh ha Noi University of Science and Technology Ha Noi100000Viet Nam Academy of Cryptography Techniques Ha Noi100000Viet Nam

Android malware has exploded in popularity in recent years,due to the platform’s dominance of the mobile *** the advancement of deep learning technology,numerous deep learning-based works have been proposed for the classification of Android *** learning technology is designed to handle a large amount of raw and continuous data,such as image content ***,it is incompatible with discrete features,i.e.,features gathered from multiple ***,if the feature set is already well-extracted and sparsely distributed,this technology is less effective than traditional machine *** the other hand,a wide learning model can expand the feature set to enhance the classification *** maximize the benefits of both methods,this study proposes combining the components of deep learning based on multi-branch CNNs(Convolutional Network Neural)with wide learning *** feature set is evaluated and dynamically partitioned according to its meaning and generalizability to subsets when used as input to the model’s wide or deep *** proposed model,partition,and feature set quality are all evaluated using the K-fold cross validation method on a composite dataset with three types of features:API,permission,and raw *** accuracy with wide and Deep CNN(wDCNN)model is 98.64%,improved by 1.38%compared to RNN(Recurrent Neural Network)model.

关键词： wide and deep(w&D)learning convolutional neural network image feature raw features generalized features

Hybrid model to optimize object-based land cover classification by meta-heuristic algorithm:an example for supporting urban management in ha Noi,Viet Nam

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International Journal of Digital Earth 2019年第10期12卷 1118-1132页

作者： Quang-Thanh Bui Manh Pham Van Nguyen Thi Thuy hang Quoc-Huy Nguyen Nguyen Xuan Linh Pham Minh hai Tran Anh Tuan Pham Van Cu Center for Applied Research in Remote sensing and GIS(CARGIS) VNU University of ScienceHa NoiViet Nam VNU University of Science Ha NoiViet Nam Vietnam Institute of Geodesy and Cartography Ha NoiViet Nam Ministry of Education and Training Ha NoiViet Nam

This study proposed a novel object-based hybrid classification model named GMNN that combines Grasshopper Optimization Algorithm(GOA)and the multiple-class Neural network(MNN)for urban pattern detection in hanoi,*** bands of SPOT 7 image and derivable NDVI,NDwI were used to generate image segments with associated attributes by PCI Geomatics *** segments were classified into four urban surface types(namely water,impervious surface,vegetation and bare soil)by the proposed ***,three training and validation datasets of different sizes were used to verify the robustness of this *** all tests,the overall accuracies of the classification were approximately 87%,and the Area under Receiver Operating Characteristic curves for each land cover type was ***,the performance of this model was examined by comparing several statistical indicators with common benchmark *** results showed that GMNN out-performed established methods in all comparable *** results suggested that our hybrid model was successfully deployed in the study area and could be used as an alternative classification method for urban land cover *** a broader sense,classification methods will be enriched with the active and fast-growing contribution of metaheuristic algorithms.

关键词： Urban remote sensing object-based classification neural network grasshopper optimization algorithm

An Intelligent Approach for Intrusion Detection in Industrial Control System

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Computers, Materials & Continua 2023年第11期77卷 2049-2078页

作者： Adel Alkhalil Abdulaziz Aljaloud Diaa Uliyan Mohammed Altameemi Magdy Abdelrhman Yaser Altameemi Aakash Ahmad Romany Fouad Mansour Department of Information and Computer Science College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia Applied College University of Ha’ilHa’il81481Saudi Arabia College of Education New Valley UniversityEl-Kharga72511Egypt College of Art University of Ha’ilHa’il81481Saudi Arabia School of Computing and Communications Lancaster UniversityLeipzig04109Germany College of Science New Valley UniversityEl-Kharga72511Egypt

Supervisory control and data acquisition(SCADA)systems are computer systems that gather and analyze real-time data,distributed control systems are specially designed automated control system that consists of geographically distributed control elements,and other smaller control systems such as programmable logic controllers are industrial solid-state computers that monitor inputs and outputs and make logic-based *** recent years,there has been a lot of focus on the security of industrial control *** to the advancement in information technologies,the risk of cyberattacks on industrial control system has been drastically *** they are so inextricably tied to human life,any damage to them might have devastating *** provide an efficient solution to such problems,this paper proposes a new approach to intrusion ***,the important features in the dataset are determined by the difference between the distribution of unlabeled and positive data which is deployed for the learning ***,a prior estimation of the class is proposed based on a support vector *** results show that the proposed approach has better anomaly detection performance than existing algorithms.

关键词： Industrial control system anomaly detection intrusion detection system protection

Enhancing Arabic Cyberbullying Detection with End-to-End Transformer Model

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Computer Modeling in Engineering & Sciences 2024年第11期141卷 1651-1671页

作者： Mohamed A.Mahdi Suliman Mohamed Fati Mohamed A.G.hazber Shahanawaj Ahamad Sawsan A.Saad Information and Computer Science Department College of Computer Science and EngineeringUniversity of Ha’ilHa’il55476Saudi Arabia Information Systems Department College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Software Engineering Department College of Computer Science and EngineeringUniversity of Ha’ilHa’il55476Saudi Arabia Computer Engineering Department College of Computer Science and EngineeringUniversity of Ha’ilHa’il55476Saudi Arabia

Cyberbullying,a critical concern for digital safety,necessitates effective linguistic analysis tools that can navigate the complexities of language use in online *** tackle this challenge,our study introduces a new approach employing Bidirectional Encoder Representations from the Transformers(BERT)base model(cased),originally pretrained in *** model is uniquely adapted to recognize the intricate nuances of Arabic online communication,a key aspect often overlooked in conventional cyberbullying detection *** model is an end-to-end solution that has been fine-tuned on a diverse dataset of Arabic social media(SM)tweets showing a notable increase in detection accuracy and sensitivity compared to existing *** results on a diverse Arabic dataset collected from the‘X platform’demonstrate a notable increase in detection accuracy and sensitivity compared to existing methods.E-BERT shows a substantial improvement in performance,evidenced by an accuracy of 98.45%,precision of 99.17%,recall of 99.10%,and an F1 score of 99.14%.The proposed E-BERT not only addresses a critical gap in cyberbullying detection in Arabic online forums but also sets a precedent for applying cross-lingual pretrained models in regional language applications,offering a scalable and effective framework for enhancing online safety across Arabic-speaking communities.

关键词： Cyberbullying offensive detection Bidirectional Encoder Representations from the Transformers(BERT) continuous bag of words Social Media natural language processing

Mixed epithelial endocrine neoplasms of the colon and rectum–An evolution over time:A systematic review

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world Journal of Gastroenterology 2020年第34期26卷 5181-5206页

作者： Rani Kanthan Suresh Tharmaradinam Tehmina Asif Shahid Ahmed Selliah C Kanthan Department of Pathology and Laboratory Medicine University of SaskatchewanSaskatoon S7N 0W8SKCanada Division of Oncology Saskatoon Cancer CentreSaskatoon S7N 0W8SKCanada Division of General Surgery University of SaskatchewanSaskatoon S7N 0W8SKCanada

BACKGROUND Mixed tumors of the colon and rectum,composed of a combination of epithelial and endocrine elements of benign and malignant potential are rare *** can occur anywhere in the gastrointestinal tract and are often diagnosed *** they have been a well-documented entity in the pancreas,where the exocrine-endocrine mixed tumors have been known for a while,recognition and accurate diagnosis of these tumors in the colon and rectum,to date,remains a *** is further compounded by the different terminologies that have been attributed to these lesions over the years adding to increased confusion and ***,dedicated literature reviews of these lesions in the colon and rectum are inconsistent and are predominantly limited to case reports and case series of limited case ***,most of these tumors are high grade and of advanced stage,intermediate and low grade lesions of these mixed tumors are also increasingly been *** are no established independent consensus based guidelines for the therapeutic patient management of these unique *** To provide a comprehensive targeted literature review of these complex mixed tumors in the colon and rectum that chronicles the evolution over time with summarization of historical perspectives of terminology and to further our understanding regarding their pathogenesis including genomic landscape,clinicoradiological features,pathology,treatment,prognosis,the current status of the management of the primary lesions,their recurrences and *** A comprehensive review of the published English literature was conducted using the search engines PubMed,MEDLINE and GOOGLE *** following search terms[“mixed tumors colon”OR mixed endocrine/neuroendocrine tumor/neoplasm/lesion colon OR adenocarcinoma and endocrine/neuroendocrine tumor colon OR mixed adenocarcinoma and endocrine/neuroendocrine carcinoma colon OR Amphicrine tumors OR Collision tumors

关键词： Mixed epithelial endocrine neoplasms Mixed adeno-neuroendocrine carcinoma Mixed adeno neuro endocrine tumors Mixed neuroendocrine-non neuroendocrine neoplasms Colorectal

Ameliorative properties of Iranian Trigonella foenum-graecum L. seeds and Punica granatum L. peel extracts in streptozotocin-induced experimental diabetic guinea pigs

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Asian Pacific Journal of Tropical Biomedicine 2017年第3期7卷 234-239页

作者： Nabil Abdel Salam Ahmed hasona Mohammed Ahmed Qumani Turki Ahmed Alghassab Muath Abdulrahman Alghassab Abdullah Ali Alghabban Department of Biochemistry College of MedicineHa'il UniversityHa'ilSaudi Arabia Department of Chemistry Faculty of ScienceBeni-Suef UniversityBeni-SuefEgypt Department of Pharmacology College of MedicineHa'il UniversityHa'ilSaudi Arabia

Objective: To assess the ameliorative properties of Iranian Trigonella foenum-graecum L.(T. foenum-graecum) seeds and Punica granatum L.(P. granatum) peel extracts against streptozotocin-induced diabetes in male guinea ***: Sixty guinea pigs were divided into six groups(10 guinea pigs per group).Group 1 consisted of normal animals. Groups 2 and 3 were treated with Iranian T. foenum-graecum seeds and P. granatum peel extract alone, respectively. Group 4 was treated with streptozotocin only; whereas Groups 5 and 6 receiving streptozotocin were treated with Iranian T. foenum-graecum seeds and P. granatum peel extract, *** animals were treated for 30 days, and the body weight, blood and liver biochemical parameters were ***: Guinea pigs exposed to streptozotocin showed an alteration in body weight gain, fasting glucose level, kidney function parameters(blood urea nitrogen and creatinine) as well as decreased serum and hepatic total protein level. In addition, it increased the cholesterol and triglyceride level, while decreasing the hepatic glucose-6 phosphate dehydrogenase activity, glycogen, glutathione content and hepatic catalase activity. Oral treatment with T. foenum-graecum seeds and P. granatum peel extracts revealed significant protective properties with respect to body weight gain and other biochemical parameters ***: The Iranian T. foenum-graecum seeds and P. granatum peel extracts are significantly potent in ameliorating diabetic condition induced by streptozotocin and improving various biochemical parameters in serum and liver of guinea pigs.

关键词： Diabetes Iranian Trigonella foenum-graecum Seeds Punica granatum Peel Streptozotocin

Raising medium function of environmental engineering by using life rubbish to produce carpet turf

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Journal of Environmental Sciences 2000年第4期12卷 498-505页

作者： DUO Li an, ZhaO Shu lan (College of Chemistry and Biology, Tianjin Normal University, Tianjin 300074, China) 天津师范大学天津 3 0 0 0 74

Abundant material with low cost was utilized to raise medium function of producing carpet turf by life rubbish. The results showed that the material used could strikingly raise water retentiveness and ventilating of medium. Through the determination of the effect of each growth index of several turfgrass, emergence density, plant height, root growth and individual plant′s net primary production were all positively related to the material′s amount mixed, showing that the mixture of material could promote turfgrass growth, further proving that the material used raised medium function of producing carpet turf by life rubbish and made most use of life rubbish resources. It provided a scientific base is for application of environmental engineering by using life rubbish to produce carpet turf. So the study had both important theoretic meaning and applied value.

关键词： life rubbish carpet turf medium function environmental engineering