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A Deep Learning Based Sentiment Analytic Model for the Prediction of Traffic Accidents

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Computers, Materials & Continua 2023年第11期77卷 1599-1615页

作者： Nadeem Malik Saud Altaf muhammad Usman Tariq Ashir Ahmed muhammad Babar University Institute of Information Technology PMAS Arid Agriculture UniversityRawalpindi46000Pakistan Department of Marketing Operationsand Information SystemAbu Dhabi UniversityAbu Dhabi6844United Arab Emirates College of Computer and Information Sciences Prince Sultan UniversityRiyadh11442Saudi Arabia Robotics and Internet of Things Lab Prince Sultan UniversityRiyadh11442Saudi Arabia

The severity of traffic accidents is a serious global concern,particularly in developing *** the main causes and contributing circumstances may reduce the severity of traffic *** exist many machine learning models and decision support systems to predict road accidents by using datasets from different social media forums such as Twitter,blogs and *** such approaches are popular,there exists an issue of data management and low prediction *** article presented a deep learning-based sentiment analytic model known as Extra-large Network Bi-directional long short term memory(XLNet-Bi-LSTM)to predict traffic collisions based on data collected from social ***,a Tweet dataset has been formed by using an exhaustive keyword-based searching *** the next phase,two different types of features named as individual tokens and pair tokens have been obtained by using POS tagging and association rule *** output of this phase has been forwarded to a three-layer deep learning model for final *** experiment has been performed to test the efficiency of the proposed XLNet-Bi-LSTM *** has been shown that the proposed model achieved 94.2%prediction accuracy.

关键词： Accident XLNet Bi-LSTM association rule mining Twitter

Spatial cluster analysis of human cases of Crimean Congo hemorrhagic fever reported in Pakistan

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Infectious Diseases of Poverty 2015年第1期4卷 62-66页

作者： Tariq Abbas muhammad Younus Sayyad Aun muhammad Section of Veterinary Preventive Medicine and Public Health University College of Veterinary and Animal SciencesThe Islamia University of BahawalpurBahawalpurPakistan Department of Pathobiology College of Veterinary and Animal SciencesJhangPakistan Department of Clinical Sciences College of Veterinary and Animal SciencesJhangPakistan

Background:Crimean Congo hemorrhagic fever(CCHF)is a tick-borne viral zoonotic disease that has been reported in almost all geographic regions in *** aim of this study was to identify spatial clusters of human cases of CCHF reported in ***:Kulldorff’s spatial scan statisitc,Anselin’s Local Moran’s I and Getis Ord Gi*tests were applied on data(*** of laboratory confirmed cases reported from each district during year 2013).Findings:The analyses revealed a large multi-district cluster of high CCHF incidence in the uplands of Balochistan province near it border with *** cluster comprised the following districts:Qilla Abdullah;Qilla saifullah;Loralai,Quetta,Sibi,Chagai,and *** cluster was detected in Punjab and included Rawalpindi district and a part of ***:We provide empirical evidence of spatial clustering of human CCHF cases in the *** districts in the clusters should be given priority in surveillance,control programs,and further research.

关键词： Crimean Congo hemorrhagic fever Pakistan Spatial autocorrelation Clusters Adjusted cumulative incidence

Applications of variogram modeling to electrical resistivity data for the occurrence and distribution of saline groundwater in Domail Plain,northwestern Himalayan fold and thrust belt,Pakistan

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Journal of Mountain Science 2017年第1期14卷 158-174页

作者： Asam FARID Perviez KHALID Khan Zaib JADOON muhammad Asim IQBAL muhammad SHAFIQUE Institute of Geology University of Punjab P. O. Box 54590 Lahore Pakistan Department of Civil Engineering Comsats Institute of lnformation Technology Abbottabad 22010 Pakistan Department of Petroleum Geosciences The Petroleum Institute P. O. Box 2533 Abu Dhabi United Arab Emirates National Centre of Excellence in Geology University of Peshawar Pakistan

This paper studies electrical resistivity dataset acquired for a groundwater study in the Domail Plain in the northwestern Himalayan section of Pakistan. Through a combination of geostatistical analysis,geophysical inversion and visualization techniques,it is possible to re-model and visualize the single dimension resistivity data into 2D and 3D *** variogram models are utilized to extend the interpretation of the data and to distinguish individual lithologic units and the occurrence of saline water within the subsurface. The resistivity data has been calibrated with the lithological logs taken from the available boreholes. As such the alluvial system of the Domail Plain has formed during episodes of local tectonic activity with fluvial erosion and depositionyielding coarse sediments with high electrical resistivities near to the mountain ranges and finer sediments with medium to low electrical resistivities which tend to settle in the basin center. Thus a change is depositional setting happened from basin lacustrine environment to flash flooding during the Himalayan orogeny. The occurrence of rock salt in the northern mountains has imparted a great influence on the groundwater quality of the study area. The salt is dissolved by water which infiltrates into the subsurface through the water channels. Variogram aided gridding of resistivity data helps to identify the occurrence and distribution of saline water in the subsurface.

关键词： Inversion Domail Resistivity Variogram Gridding

Structure inversion asymmetry enhanced electronic structure and electrical transport in 2D A3SnO(A=Ca,Sr,and Ba)antiperovskite monolayers

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Nano Research 2023年第1期16卷 1779-1791页

作者： Syed muhammad Alay-e-Abbas Ghulam Abbas Waqas Zulfiqar muhammad Sajjad Nirpendra Singh J.Andreas Larsson Applied Physics Division of Materials ScienceDepartment of Engineering Sciences and MathematicsLuleåUniversity of Technology97187 LuleåSweden Computational Materials Modeling Laboratory Department of PhysicsGovernment College UniversityFaisalabad 38040Pakistan Department of Energy Conversion and Storage Technical University of Denmark2800 Kgs.LyngbyDenmark Department of Physics Khalifa University of Science and TechnologyAbu Dhabi-127788United Arab Emirates Center for Catalysis and Separation(CeCaS) Khalifa University of Science and TechnologyAbu Dhabi-127788United Arab Emirates

Anti-perovskites A3SnO(A=Ca,Sr,and Ba)are an important class of materials due to the emergence of Dirac cones and tiny mass gaps in their band structures originating from an intricate interplay of crystal symmetry,spin–orbit coupling,and band *** provides an exciting playground for modulating their electronic properties in the two-dimensional(2D)***,we employ first-principles density functional theory(DFT)calculations by combining dispersion-corrected SCAN+rVV10 and mBJ functionals for a comprehensive side-by-side comparison of the structural,thermodynamic,dynamical,mechanical,electronic,and thermoelectric properties of bulk and monolayer(one unit cell thick)A3SnO *** results show that 2D monolayers derived from bulk A3SnO anti-perovskites are structurally and energetically ***,Rashba-type splitting in the electronic structure of Ca3SnO and Sr3SnO monolayers is observed owing to strong spin–orbit coupling and inversion *** the other hand,monolayer Ba3SnO exhibits Dirac cone at the high-symmetryΓpoint due to the domination of band *** on the predicted electronic transport properties,it is shown that inversion asymmetry plays an essential character such that the monolayers Ca3SnO and Sr3SnO outperform thermoelectric performance of their bulk counterparts.

关键词： electrical transport anti-perovskites low-dimensional materials electronic structure mechanical properties

Spectrum of Diseases, Disease Related Mortality and Overall Financial Burden of Hospitalized Patients in Medical Wards of Tertiary Care Public Hospital

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Open Journal of Epidemiology 2017年第4期7卷 337-348页

作者： Iftikhar Haider Naqvi Khalid Mahmood abu Talib Syed muhammad Kashif Ali Sajjad Department of Medicine Dow University of Health Sciences Karachi Pakistan

Background: Detailed assessment of pattern of diseases and trend of mortalities tends to aid in formulating pivotal aspects of in-hospital policies, standards of care and so consequently promoting efficient work system. This also reserves limited resources keeping within the limit of financial grasp. The study aims to reimburse the colossal paucity of data covering epidemiological burden of diseases, impact on mortality as well as financial burden in socioeconomically challenged public health system. Methods: This was a retrospective cross-sectional hospital based study conducted in department of Medicine, Civil Hospital Karachi, from February 2016 to July 2016 using questionnaire based data collection system. Results: Eight thousand and fifty three (8053) cases with almost equal gender proportion were analyzed. Chronic liver disease (CLD) was the most rampant disease, followed by cerebrovascular accident (CVA), tuberculosis and diabetes. Overall 51% cases were attributed to infectious diseases. Overall the average percentage mortality was found to be 20% of all cases. Mean duration of stay was 7.56 ± 7 days. Estimated average total in-hospital expenditure per patient on each visit or stay was 159.15 ± 41.2 $USD (16670.96 ± 4315.7 PKR). Average total diagnostic and medications costs per visit or stay were 89.74 ± 31.2 $USD (9400.26 ± 3268.2 PKR) and 48.68 ± 18.0 $USD (5099.23 ± 1885.5 PKR) respectively. Conclusion: Chronic liver disease, cerebrovascular accident and diabetes were most frequent reasons of hospital admission and mortality. Recognition of most common and fatal diseases with their expenditure is going to lead to formulation of targeted policies both of which would be effective and efficient.

关键词： Communicable Diseases Mortality Health Economics Epidemiology Infectious Diseases

Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City

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Computers, Materials & Continua 2021年第4期67卷 625-639页

作者： muhammad Usman Tariq muhammad Babar Mian Ahmad Jan Akmal Saeed Khattak Mohammad Dahman Alshehri Abid Yahya abu Dhabi School of Management Abu Dhabi6844United Arab Emirates Department of Computing and Technology Iqra UniversityIslamabad44000Pakistan Institute of Research and Development Duy Tan UniversityDa Nang550000Vietnam The Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Sciences Abdul Wali Khan UniversityMardan23200Pakistan Department of Computer Sciences Quaid-i-Azam UniversityIslamabad44000Pakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Botswana International University of Science and Technology Palapye016Botswana

The world is rapidly changing with the advance of information *** expansion of the Internet of Things(IoT)is a huge step in the development of the smart *** IoT consists of connected devices that transfer *** IoT architecture permits on-demand services to a public pool of *** computing plays a vital role in developing IoT-enabled smart *** integration of cloud computing enhances the offering of distributed resources in the smart *** management of security requirements of cloud-assisted IoT systems can bring about risks to availability,security,performance,condentiality,and *** key reason for cloud-and IoT-enabled smart city application failure is improper security practices at the early stages of *** article proposes a framework to collect security requirements during the initial development phase of cloud-assisted IoT-enabled smart city *** three-layered architecture includes privacy preserved stakeholder analysis(PPSA),security requirement modeling and validation(SRMV),and secure cloud-assistance(SCA).A case study highlights the applicability and effectiveness of the proposed framework.A hybrid survey enables the identication and evaluation of signicant challenges.

关键词： Security privacy smart city Internet of Things cloud computing

TC-Net:A Modest&Lightweight Emotion Recognition System Using Temporal Convolution Network

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Computer Systems Science & Engineering 2023年第9期46卷 3355-3369页

作者： muhammad Ishaq Mustaqeem Khan Soonil Kwon Sejong University Software Convergence Department Seoul05006Korea Mohamed Bin Zayed University of Artificial Intelligence(MBZUAI) Abu Dhabi3838-111188United Arab Emirates

Speech signals play an essential role in communication and provide an efficient way to exchange information between humans and *** Emotion Recognition(SER)is one of the critical sources for human evaluation,which is applicable in many real-world applications such as healthcare,call centers,robotics,safety,and virtual *** work developed a novel TCN-based emotion recognition system using speech signals through a spatial-temporal convolution network to recognize the speaker’s emotional *** authors designed a Temporal Convolutional Network(TCN)core block to recognize long-term dependencies in speech signals and then feed these temporal cues to a dense network to fuse the spatial features and recognize global information for final *** proposed network extracts valid sequential cues automatically from speech signals,which performed better than state-of-the-art(SOTA)and traditional machine learning *** of the proposed method show a high recognition rate compared with *** final unweighted accuracy of 80.84%,and 92.31%,for interactive emotional dyadic motion captures(IEMOCAP)and berlin emotional dataset(EMO-DB),indicate the robustness and efficiency of the designed model.

关键词： Affective computing deep learning emotion recognition speech signal temporal convolutional network

Performance Characterization of the Hydrophilic SiO2/TiO2 Double Layers Using a Sol-gel Dip Coating Method for Automotive Glass Applications

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Performance Characterization of the Hydrophilic SiO2/TiO2 Do...

Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System

International Conference on Environment and Industrial Innovation（ICEII 2011）

作者： muhammad Zahiruddin Bin Ramli Nur Fadzeelah abu Kassim Nurulhuda Amri Faculty of Chemical Engineering Universiti Teknologi MARA Pulau Pinang Malaysia

Unclear vision through the automotive glass is always occurring when accumulated water droplets create reflection and refraction of light especially on a rainy day. This is due to the hydrophobic characteristic of the conventional glass surface. In this study, TiO2, SiO2 and SiO2/TiO2 double layers thin film was prepared and coated on the glass plate using sol-gel dip coating method to enhance its surface and light transmittance characteristic. Surface morphology study using Scanning Electron Microscopy （SEM）justifies the reliability of the method used. As expected for the double layers SiO2/TiO2 film, SiO2 particles aggregates which randomly distributed on the surface of TiO2. Furthermore, the heat treatment employed during the coating and curing process was perfectly done as proven by zero crack spot exist on the coating surface. Performance wise, the prepared coatings were also shown a positive result whereby good agreements between visual observations of water droplet profile with water contact angle analyses were obtained. This finding that served the hydrophilic and self-cleaning function of the coating revealed that SiO2/TiO2 double layers film has demonstrated hydrophilic property based on the 13.9°of contact angle achieved. Moreover,light transmittance characterization on the double layers coating sample shows a significantly high transmission percentage of 71% which is higher than what have been permitted by regulation from Malaysian Road Transport Department. Based on its inexpensive coating method as well as all the positive characteristics, it concludes the feasibility of this type of coating to be used in automotive industry in the near future.

关键词： SiO2/TiO2 double layer thin film Sol-gel dip coating Hydrophilic Water contact angle

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Computers, Materials & Continua 2022年第3期70卷 5305-5319页

作者： Talha Mahboob Alam Kamran Shaukat Adel Khelifi Wasim Ahmad Khan Hafiz muhammad Ehtisham Raza muhammad Idrees Suhuai Luo Ibrahim A.Hameed Department of Computer Science and Information Technology Virtual University of PakistanLahorePakistan School of Information and Physical Sciences The University of NewcastleAustralia Department of Computer Science and Information Technology Abu Dhabi UniversityAbu DhabiUnited Arab Emirates School of Computer Science National College of Business Administration&EconomicsLahorePakistan Sir Syed College of Computer Science University of Engineering and TechnologyLahorePakistan Department of Data Science University of the PunjabLahorePakistan Department of ICT and Natural Sciences Norwegian University of Science and TechnologyTrondheimNorway

Disease diagnosis is a challenging task due to a large number of associated *** in the diagnosis process arises frominaccuracy in patient attributes,missing data,and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated *** paper aims to demonstrate an integrated view of deploying smart disease diagnosis using the Internet of Things(IoT)empowered by the fuzzy inference system(FIS)to diagnose various *** Fuzzy Systemis one of the best systems to diagnose medical conditions because every disease diagnosis involves many uncertainties,and fuzzy logic is the best way to handle *** proposed system differentiates new cases provided symptoms of the ***,it becomes a time-sensitive task to discriminate symptomatic *** proposed system can track symptoms firmly to diagnose diseases through IoT and FIS smartly and *** coefficients have been employed to predict and compute the identified disease’s severity for each sign of *** study aims to differentiate and diagnose COVID-19,Typhoid,Malaria,and *** study used the FIS method to figure out the disease over the use of given data related to correlating with input *** tool is utilised for the implementation of *** procedure on the aforementioned given data presents that affectionate disease can derive from the *** results of our proposed method proved that FIS could be utilised for the diagnosis of other *** study may assist doctors,patients,medical practitioners,and other healthcare professionals in early diagnosis and better treat diseases.

关键词： Disease diagnosis system COVID-19 healthcare biomedical rules extraction