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Computers, Materials & Continua 2024年第8期80卷 1927-1945页

作者： muhammad Ayoub Kamal muhammad Mansoor alam Aznida Abu Bakar Sajak Mazliham Mohd Su’ud Malaysian Institute of Information Technology(MIIT) Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Computing and Informatics Multimedia UniversityCyberjaya63100Malaysia Depertment of Computer Science DHA Suffa UniversityKarachiSindh75500Pakistan Riphah Institute of System Engineering(RISE) Faculty of ComputingRiphah International UniversityIslamabad46000Pakistan Malaysian France Institute(MFI) Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneyUltimoNSW 2007Australia

In situations when the precise position of a machine is unknown,localization becomes *** research focuses on improving the position prediction accuracy over long-range(LoRa)network using an optimized machine learning-based *** order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting method over LoRa technology,this study proposed an optimized machine learning(ML)based *** signal strength indicator(RSSI)data from the sensors at different positions was first gathered via an experiment through the LoRa network in a multistory round layout *** noise factor is also taken into account,and the signal-to-noise ratio(SNR)value is recorded for every RSSI *** study concludes the examination of reference point accuracy with the modified KNN method(MKNN).MKNN was created to more precisely anticipate the position of the reference *** findings showed that MKNN outperformed other algorithms in terms of accuracy and complexity.

关键词： Indoor localization MKNN LoRa machine learning classification RSSI SNR localization

A Systematic Literature Review of Machine Learning and Deep Learning Approaches for Spectral Image Classification in Agricultural Applications Using Aerial Photography

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Computers, Materials & Continua 2024年第3期78卷 2967-3000页

作者： Usman Khan muhammad Khalid Khan muhammad Ayub Latif muhammad Naveed muhammad Mansoor alam Salman A.Khan Mazliham Mohd Su’ud College of Computing and Information Sciences Karachi Institute of Economics and TechnologyKarachi75190Pakistan Faculty of Computing and Informatics(FCI) Multimedia UniversityCyberjaya63100Malaysia Faculty of Computing Riphah International UniversityIslamabad46000Pakistan Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneySydneyAustralia

Recently,there has been a notable surge of interest in scientific research regarding spectral *** potential of these images to revolutionize the digital photography industry,like aerial photography through Unmanned Aerial Vehicles(UAVs),has captured considerable *** encouraging aspect is their combination with machine learning and deep learning algorithms,which have demonstrated remarkable outcomes in image *** a result of this powerful amalgamation,the adoption of spectral images has experienced exponential growth across various domains,with agriculture being one of the prominent *** paper presents an extensive survey encompassing multispectral and hyperspectral images,focusing on their applications for classification challenges in diverse agricultural areas,including plants,grains,fruits,and *** meticulously examining primary studies,we delve into the specific agricultural domains where multispectral and hyperspectral images have found practical ***,our attention is directed towards utilizing machine learning techniques for effectively classifying hyperspectral images within the agricultural *** findings of our investigation reveal that deep learning and support vector machines have emerged as widely employed methods for hyperspectral image classification in ***,we also shed light on the various issues and limitations of working with spectral *** comprehensive analysis aims to provide valuable insights into the current state of spectral imaging in agriculture and its potential for future advancements.

关键词： Machine learning deep learning unmanned aerial vehicles multi-spectral images image recognition object detection hyperspectral images aerial photography

AI-Driven Learning Management Systems:Modern Developments, Challenges and Future Trends during theAge of ChatGPT

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Computers, Materials & Continua 2024年第8期80卷 3289-3314页

作者： Sameer Qazi muhammad Bilal Kadri muhammad Naveed Bilal AKhawaja Sohaib Zia Khan muhammad Mansoor alam Mazliham Mohd Su’ud Department of Computer Science Faculty of EngineeringScience and TechnologyIQRA UniversityKarachi75500Pakistan College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Engineering Department of Electrical EngineeringIslamic University of MadinahP.O.BOX 170Madinah41411Saudi Arabia Faculty of Engineering Department of Mechanical EngineeringIslamic University of MadinahP.O.BOX 170Madinah41411Saudi Arabia Faculty of Computing Riphah International UniversityIslamabad46000Pakistan Faculty of Computing and Informatics(FCI)Multimedia University Cyberjaya63100Malaysia Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneySydneyNSW 2007Australia

COVID-19 pandemic restrictions limited all social activities to curtail the spread of the *** foremost and most prime sector among those affected were schools,colleges,and *** education system of entire nations had shifted to online education during this *** shortcomings of Learning Management Systems(LMSs)were detected to support education in an online mode that spawned the research in Artificial Intelligence(AI)based tools that are being developed by the research community to improve the effectiveness of *** paper presents a detailed survey of the different enhancements to LMSs,which are led by key advances in the area of AI to enhance the real-time and non-real-time user *** AI-based enhancements proposed to the LMSs start from the Application layer and Presentation layer in the form of flipped classroom models for the efficient learning environment and appropriately designed UI/UX for efficient utilization of LMS utilities and resources,including AI-based *** layer enhancements are also required,such as AI-based online proctoring and user authentication using *** extend to the Transport layer to support real-time and rate adaptive encrypted video transmission for user security/privacy and satisfactory working of *** also needs the support of the Networking layer for IP-based geolocation features,the Virtual Private Network(VPN)feature,and the support of Software-Defined Networks(SDN)for optimum Quality of Service(QoS).Finally,in addition to these,non-real-time user experience is enhanced by other AI-based enhancements such as Plagiarism detection algorithms and Data Analytics.

关键词： Learning management systems chatbots ChatGPT online education Internet of Things(IoT) artificial intelligence(AI) convolutional neural networks natural language processing

Cutaneous Abnormalities in Chronic Kidney Disease Patients with and without Dialysis

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Journal of Biosciences and Medicines 2020年第1期8卷 64-76页

作者： Md. Obaidur Rahman muhammad rafiqul alam Asia Khanam Md. Rezaul alam Md. Kabir Hossain A. K. M. Shahidur Rahman Fahmida Haque Department of Nephrology Cumilla Medical College & Hospital Cumilla Bangladesh Department of Nephrology Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh Department of Dermatology CARe Medical College & Hospital Dhaka Bangladesh

Background: Chronic kidney disease (CKD) is increasingly prevalent worldwide. CKD may present with different cutaneous manifestations. Objectives: To evaluate the dermatological manifestations and compare these manifestations between patients with maintenance hemodialysis (MHD) and non-dialysis groups. Methods: It was a cross sectional study conducted in the Department of Nephrology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from April 2013 to March 2014. A total of 150 hospital admitted CKD patients were evaluated for dermatological manifestations. Age, gender, haemoglobin level, 24-hours urinary total protein (UTP), serum creatinine, serum fasting lipid profile, estimated glomerular filtration rate (e-GFR) and dermatological manifestations of the study subjects were recorded accordingly. Inter-group comparisons were made between patients with and those without cutaneous abnormality. Results: Out of 150 study subjects, 99 (66%) were male and 51 (34%) were female, 69 (46%) patients were on MHD and 81 (54%) patients were without dialysis, their mean (±SD) age was 44.6 ± 12.3 year. A Total of 126 (84%) patients had cutaneous abnormalities;among them 69 (54.76%) were pre-dialytic and 57 (45.24%) were on MHD group. The mean (±SD) serum creatinine was relatively higher but haemoglobin level was significantly lower (p = 0.021), while UTP was significantly higher (p = 0.038) among patients with cutaneous abnormality. There was no relationship between lipid profile with cutaneous abnormality. Among 126 (84%) patients with cutaneous abnormality;pallor was the most common cutaneous abnormality (72%) followed by xerosis (68.66%), pruritus (65.33%), half and half nails (38.66%), pigmentation (33.33%), purpura/ecchymosis (16.66%), fungal infection (16%), ulcerative stomatitis (10.66%) and bacterial infection (10%). Pigmentation (52.6%), purpura (35.1%), ulcerative stomatitis (21.1%) and bacterial infection (19.3%) were significantly higher in MHD gro

关键词： Chronic Kidney Disease (CKD) Cutaneous Manifestations Maintenance Hemodialysis (MHD)

Implications of electrode modifications in aqueous organic redox flow batteries

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Journal of Energy Chemistry 2024年第8期95卷 499-510,I0011页

作者： Zahid Manzoor Bhat Mohammad Furquan muhammad Aurang Zeb Gul Sial Umair alam Atif Saeed Alzahrani Mohammad Qamar Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management(IRC-HTCM) King Fahd University of Petroleum&Minerals(KFUPM)Dhahran 31261Saudi Arabia Department of Materials Science and Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems(IRC-SES) King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

Aqueous organic redox flow batteries(RFBs)exhibit favorable characteristics,such as tunability,multielectron transfer capability,and stability of the redox active molecules utilized as anolytes and catholytes,making them very viable contenders for large-scale grid storage *** attention has been paid on the development of efficient redox-active molecules and their performance optimization through chemical substitutions at various places on the backbone as part of the pursuit for high-performance *** the fact that electrodes are vital to optimal performance,they have not garnered significant *** research has been conducted on the effects of electrode modifications to improve the performance of *** primary emphasis has been given on the impact of electrode engineering to augment the efficiency of aqueous organic *** overview of electron transfer at the electrode-electrolyte interface is *** implications of electrode modification on the performance of redox flow batteries,with a particular focus on the anodic and cathodic half-cells separately,are then *** each section,significant discrepancies surrounding the effects of electrode engineering are thoroughly examined and ***,we have presented a comprehensive assessment along with our perspectives on the future trajectory.

关键词： Redox flow batteries Electrode modification Organic redox molecules Outer sphere and inner sphere

Developing Lexicons for Enhanced Sentiment Analysis in Software Engineering:An Innovative Multilingual Approach for Social Media Reviews

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Computers, Materials & Continua 2024年第5期79卷 2771-2793页

作者： Zohaib Ahmad Khan Yuanqing Xia Ahmed Khan muhammad Sadiq Mahmood alam Fuad AAwwad Emad A.A.Ismail School of Automation Beijing Institute of TechnologyBeijing100081China Department of Computer Science and Technology University of Science and Technology BannuKPKBannu28100Pakistan School of Computer Science and Engineering Central South UniversityChangsha410083China Department of Quantitative Analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia

Sentiment analysis is becoming increasingly important in today’s digital age, with social media being a significantsource of user-generated content. The development of sentiment lexicons that can support languages other thanEnglish is a challenging task, especially for analyzing sentiment analysis in social media reviews. Most existingsentiment analysis systems focus on English, leaving a significant research gap in other languages due to limitedresources and tools. This research aims to address this gap by building a sentiment lexicon for local languages,which is then used with a machine learning algorithm for efficient sentiment analysis. In the first step, a lexiconis developed that includes five languages: Urdu, Roman Urdu, Pashto, Roman Pashto, and English. The sentimentscores from SentiWordNet are associated with each word in the lexicon to produce an effective sentiment score. Inthe second step, a naive Bayesian algorithm is applied to the developed lexicon for efficient sentiment analysis ofRoman Pashto. Both the sentiment lexicon and sentiment analysis steps were evaluated using information retrievalmetrics, with an accuracy score of 0.89 for the sentiment lexicon and 0.83 for the sentiment analysis. The resultsshowcase the potential for improving software engineering tasks related to user feedback analysis and productdevelopment.

关键词： Emotional assessment regional dialects SentiWordNet naive bayesian technique lexicons software engineering user feedback

Source parameters and aftershock pattern of the October 7,2021,M5.9 Harnai earthquake,Pakistan

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Earthquake Science 2024年第4期37卷 304-323页

作者： Mohammad Tahir Zeeshan Ahmad Sadia Sabahat muhammad Naveed Mushtaq Talat Iqbal muhammad Ali Shah alam Aftab Centre for Earthquake Studies National Centre for PhysicsIslamabad 44000Pakistan

On October 7,2021,a magnitude 5.9 earthquake struck the Harnai(Baluchistan)region of Pakistan,causing several fatalities and injuries within the epicentral ***-order tectonic deformation in this region is caused by the convergence of the Indian Plate with respect to the Eurasian *** Katwaz Block hinders the motion of the Indian Plate,resulting in the formation of strike-slip *** this study,the P-wave first-motion polarity technique was used to determine the mainshock faulting *** scanning of the polarity solutions was applied to determine the most suitable focal mechanism solution among the available solutions generated by the FOCMEC(focal mechanism)*** nodal planes correspond to different faulting styles(i.e.,thrust and strike-slip faulting).A nodal plane oriented in the NW-SE direction corresponded to a strike-slip mechanism,which was considered to be the fault ***,this earthquake was associated with the Harnai-Karahi strike-slip fault zone owing to the fault strike and direction of *** apparent stress drop,fault length,and moment magnitude of the Harnai earthquake were 35.4 bar,6.1 km,and 5.9,respectively.A lower b-value for the Gutenberg-Richter law was observed prior to the ***α-than b-values(α>b)indicate that this earthquake was governed by large events as opposed to small-magnitude *** Harnai sequence had a decay exponent close to unity,lasted for 145 days,and produced few *** study will help the future hazard mitigation in the region.

关键词： focal mechanism solution selection of fault plane FPFIT stress inversion oblique slip mechanism

Outcome of Leflunomide in the Treatment of Proliferative Lupus Nephritis Compared to Cyclophosphamide

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Journal of Biosciences and Medicines 2021年第3期9卷 64-76页

作者： Shahida Mullah muhammad rafiqul alam Shamim Ahmed Amanur Rasul Md. Faisal Anirban Kishor Singha A. K. M. Shahidur Rahman Diwakar Manandhar Asif Mahmud Bikram Bir Bajracharya S. M. Shamsuzzaman Rafi Nazrul Islam Md. Rezaul alam Ferdous Jahan Department of Medicine Sarkari Karmachari Hospital Dhaka Bangladesh Department of Nephrology Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh Department of Rheumatology Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh Department of Nephrology Dhaka Medical College Hospital (DMCH) Dhaka Bangladesh Department of Nephrology Kurmitola General Hospital Dhaka Bangladesh Lecturer of Nephrology Kist Medical College and Teaching Hospital Kathmandu Nepal Clinical Fellow ST3+ Medicine and Specialties Worcestershire Royal Hospital Worcester UK Goshairhat Upazila Health Complex Shariatpur Bangladesh Department of Nephrology & Dialysis BIRDEM General Hospital Dhaka Bangladesh

Background: Lupus nephritis (LN) is one of the most common presentations of Systemic lupus erythematosus (SLE). Cyclophosphamide is one of the key immunosuppressive agents for the management of LN. Leflunomide is an isoxazole immunomodulatory agent has been shown to be safe, well tolerated and effective in SLE and LN. Objective: To evaluate the outcome of leflunomide in the treatment of proliferative lupus nephritis compared to cyclophosphamide. Method: This randomized clinical trial was held in Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from July 2017 to August 2019. A total of 66 patients of proliferative lupus nephritis who need induction therapy were enrolled in this study. Leflunomide 100 mg/day for consecutive 3 days followed by 0.5 mg/kg/day in divided dose was given in experimental group (n = 32) and intravenous cyclophosphamide 0.5 gm/m2 of body surface area monthly pulse was given in control group (n = 34). All study patients have received prednisolone and hydroxychloroquine according to KDIGO guideline then followed up monthly for 6 months. Outcomes were measured at 6th month by renal function [S. Creatinine, 24 hours urinary total protein (24-hr UTP)], changes in SELENA-SLEDAI score, anti-ds DNA level, serum complement levels (serum C3 & C4), remission (complete/partial) and adverse drug responses. Result: In experimental group, remission occurred in 18 (56.3%) patients and no remission in 14 (43.7%) patients. In control group, remission occurred in 24 (70.6%) patients and no remission in 10 (29.4%) patients. Adverse effects in experimental group were: elevated ALT (6.3%), hypertension (12.5%), infection (6.3%) and amenorrhea (12.5%). In control group, adverse effects were mainly leucopenia (5.9%), infection (17.7%) and amenorrhea (29.4%). Intergroup analysis for treatment responses and adverse effects showed no significant difference (p > 0.05). Concl

关键词： Cyclophosphamide Leflunomide Lupus Nephritis (LN) Systemic Lupus Erythematosus (SLE)

Incidence, Risk Factors and Short Term Outcome of Acute Kidney Injury among Patients with Acute Coronary Syndrome

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Journal of Biosciences and Medicines 2020年第5期8卷 177-188页

作者： Md. Kabir Hossain muhammad rafiqul alam Asia Khanam A. K. M. Shahidur Rahman Rafi Nazrul Islam Syed Fazlul Islam Mohammad Kamrul Ahsan S. K. Mamun-Ar-Rashid Tanvir Rahman Md. Nazmul Hasan Department of Nephrology Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh Department of Nephrology & Dialysis BIRDEM General Hospital Dhaka Bangladesh Holy Family Red Crescent Medical College Hospital (HFRCMCH) Dhaka Bangladesh Department of Medicine Khulna Medical College Hospital Khulna Bangladesh Department of Nephrology United Hospital Limited Dhaka Bangladesh Department of Cardiology Ad-din Medical College Hospital Dhaka Bangladesh

Background: Cardio-renal syndrome is the leading cause of death globally. Acute kidney injury (AKI) is a major complication among patients admitted in Coronary Care Unit (CCU) with acute coronary syndrome (ACS). AKI in ACS patients is associated with higher morbidity, mortality and prolong hospital stay. Objective: To determine the incidence, risk factors and short term outcome of acute kidney injury (AKI) among the patients admitted in CCU with ACS. Methods: This cross sectional study was conducted at Department of Nephrology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from January 2013 to December 2013. Following selection criteria a total of two hundred (200) patients with ACS were studied. AKI was defined according to the KDIGO guideline and further categorized by RIFLE criteria. Data of patients with AKI and those without AKI were analyzed and compared by statistical tests. Results: Majority of the study patients were male (79.5%). AKI was developed in 40 of the 200 study patients (20.0%). The mean (±SD) age of the study patients was 60.1 ± 11.1 years in patients with AKI and 55.9 ± 10.1 years in patients without AKI. Our data analysis showed that older age (>65 years), diabetes mellitus, dyslipidemia and smoking were significantly correlated to the development of AKI. Mortality was significantly high in AKI group (7.15%) compared to no AKI group (1.25%). Out of 27 patients who achieved renal recovery most (80.8%) belonged to risk class. Severity of AKI showed significant effect on renal recovery and final outcome. Conclusion: This study demonstrated that, incidence of AKI among patients with ACS was 20%. Elderly patients, diabetes mellitus, dyslipidemia, and exposure to smoking were significantly associated with development of AKI in ACS.

关键词： Acute Kidney Injury (AKI) Acute Coronary Syndrome (ACS) Cardio-Renal Syndrome

Ocular Fundus Abnormalities in Pre-Dialytic Chronic Kidney Disease Patients

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Journal of Biosciences and Medicines 2019年第11期7卷 20-35页

作者： Mohammad Kamrul Ahsan muhammad rafiqul alam Asia Khanam A. H. Hamid Ahmed Md. Omar Faroque K. B. M. Hadiuzzaman A. K. M. Shahidur Rahman Rafi Nazrul Islam Manik Chandra Mondal Md. Azizur Rahman Holy Family Red Crescent Medical College Hospital (HFRCMCH) Dhaka Bangladesh Department of Nephrology Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh Department of Nephrology & Dialysis BIRDEM General Hospital Dhaka Bangladesh Bangladesh Eye Hospital & Institute Dhaka Bangladesh

Background: Chronic kidney disease (CKD) affects 10% - 16% of the adult population. Although ocular findings related to renal insufficiency include cataract, conjunctival calcification, lid edema, conjunctival pallor and xanthalesma, by far the most important is retinopathy. Objective: To evaluate the ocular fundus abnormalities in pre-dialytic chronic kidney disease patients of the adult population. Methodology: This cross-sectional observational study was conducted in the Department of Nephrology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from April 2012 to March 2014. A total of 100 hospital admitted CKD patients were purposively selected for this study. Age, gender, blood pressure, Body Mass Index (BMI), 24 hours Urinary Total Protein (UTP), haemoglobin level, serum creatinine, serum cholesterol, serum triglyceride and color fundus photography findings of both eyes were recorded for each patient. Inter-group comparisons were made between patients with retinopathy and those without retinopathy. Results: Out of 100 adult non-dialytic CKD patients, 43 (43%) had ocular fundus abnormalities, among them 27 (62.8%) were male and 16 (37.2%) were female. The risk of development of retinopathy was significantly higher among older patients (p = 0.006), those with low haemoglobin level (p = 0.0001) and high blood pressure. Retinopathy was significantly (p = 0.0001) increased with reduction of e-GFR. There was no relationship between BMI and high serum triglyceride level with retinal abnormality. Among 43 (43%) patients with retinal abnormality, 30 (69.76%) patients showed only hypertensive retinopathy and 5 (11.6%) patients showed only diabetic retinopathy. Mixed hypertensive and diabetic retinopathy was found in 8 (18.6%) patients. Maculopathy was seen in 11 (25.58%) patients, of whom 3 (6.98%) had hypertensive retinopathy and 8 (18.87%) had diabetic retinopathy. Optic atrophy was seen in 2 (4.6%) patients and drusen like retinal deposits were

关键词： Chronic Kidney Disease (CKD) Ocular Fundus Retinopathy