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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

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Acatulides A-G,neuroprotective macrolides from Acaulium album H-JQSF

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Chinese Chemical Letters 2024年第3期35卷 379-383页

作者： Zhi-Wu Tong Ting-Ting Wang Pei Yang Jia-Lin Sun Chen-Peng Zhang salman khan Xin-Cun Wang Rui-Hua Jiao Hui-Ming Ge Wen-Ying Zhuang Gang Hu Ren Xiang Tan State Key Laboratory of Pharmaceutical Biotechnology Institute of Functional BiomoleculesNanjing UniversityNanjing 210023China State Key Laboratory Cultivation Base for TCM Quality and Efficacy Nanjing University of Chinese MedicineNanjing 210023China Insitute of Microbiology Chinese Academy of SciencesBeijing 100101China

Fungal symbionts co-evolve with hosts and microbial co-inhabitants to acquire an unpredictable potential for producing novel bioactive metabolites,but the knowledge about the topic remains patchy and *** we present the chemical characterization of acatulides A-G(1-7)as architecturally unprecedented macrolides from the solid-state culture of Acaulium album H-JQSF,an arthropod-associated *** acatulide structures were elucidated by spectroscopic analysis,modified Mosher's method and single-crystal X-ray *** plausible biosynthetic pathways for compounds 1-4 are ***,acatulides B-D(2-4)and G(7)were demonstrated to be neuroprotective against the 1-methyl-4-phenylpyridinium(MPP+)-induced damage to SH-SY5Y cells and nematode Caenorhabditis elegans(***).

关键词： Acaulium album Macrolides Acatulides A–G Mosher’s method Neuroprotective

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Systemic oncological therapy in breast cancer patients on dialysis

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World Journal of Clinical Oncology 2024年第6期15卷 730-744页

作者： salman khan Ghada Araji Ekrem Yetiskul Praneeth Reddy Keesari Fadi Haddadin Zaid Khamis Varun Chowdhry Muhammad Niazi Sarah Afif Meekoo Dhar Suzanne El-Sayegh Department of Internal Medicine Northwell Health-Staten Island University HospitalStaten IslandNY 10305United States Department of Hematology and Oncology Northwell Health-Staten Island University HospitalStaten IslandNY 10305United States Department of Internal Medicine CUNY School of MedicineNew YorkNY 10031United States

The advancement of renal replacement therapy has significantly enhanced the survival rates of patients with end-stage renal disease(ESRD)over ***-ever,this prolonged survival has also been associated with a higher likelihood of cancer diagnoses among these patients including breast *** cancer treatment typically involves surgery,radiation,and systemic therapies,with ap-proaches tailored to cancer type,stage,and patient ***,renal replacement therapy complicates systemic therapy due to altered drug clearance and the necessity for dialysis *** review emphasizes the need for opti-mized dosing and administration strategies for systemic breast cancer treatments in dialysis patients,aiming to ensure both efficacy and ***,ch-allenges in breast cancer screening and diagnosis in this population,including soft-tissue calcifications,are highlighted.

关键词： Breast cancer Systemic therapy Renal replacement therapy Dialysis End-stage renal disease Hormone therapy Chemotherapy

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Outpatient insulin use in type 2 diabetes mellitus and acute respiratory distress syndrome outcomes:A retrospective cohort study

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World Journal of Clinical Cases 2024年第17期12卷 2966-2975页

作者： Georges Khattar Samer Asmar Laurence Aoun Fares Saliba Shaza Almardini Saif Abu Baker Catherine Hong Carolla El Chamieh Fadi Haddadin Toni Habib Omar Mourad Zeina Morcos Fatema Arafa Jonathan Mina Khalil El Gharib Mohammad Aldalahmeh salman khan Elie Bou Sanayeh Department of Medicine Holy Spirit University of KaslikJounieh 00000Lebanon Department of Internal Medicine Staten Island University HospitalStaten IslandNY 10305United States Public Heath and Biostatistics Independent ResearchBeirut 0000Lebanon Department of Medicine Lebanese UniversityBeirut 00000Lebanon Department of Medicine University of BalamandBeirut 00000Lebanon Department of Medicine Lebanese American UniversityBeirut 00000Lebanon Department of Medicine Northwell Health Staten Island University HospitalNew YorkNY 10305United States

BACKGROUND The impact of type 2 diabetes mellitus(T2DM)on acute respiratory distress syndrome(ARDS)is debatable.T2DM was suspected to reduce the risk and complications of ***,during coronavirus disease 2019(COVID-19),T2DM predisposed patients to ARDS,especially those who were on insulin at *** evaluate the impact of outpatient insulin use in T2DM patients on non-COVID-19 ARDS *** We conducted a retrospective cohort analysis using the Nationwide Inpatient Sample *** patients diagnosed with ARDS were stratified into insulin-dependent diabetes mellitus(DM)(IDDM)and non-insulindependent DM(NIDDM)*** applying exclusion criteria and matching over 20 variables,we compared cohorts for mortality,duration of mechanical ventilation,incidence of acute kidney injury(AKI),length of stay(LOS),hospitalization costs,and other clinical *** Following 1:1 propensity score matching,the analysis included 274 patients in each ***,no statistically significant differences emerged between the IDDM and NIDDM groups in terms of mortality rates(32.8%vs 31.0%,P=0.520),median hospital LOS(10 d,P=0.537),requirement for mechanical ventilation,incidence rates of sepsis,pneumonia or AKI,median total hospitalization costs,or patient disposition upon *** Compared to alternative anti-diabetic medications,outpatient insulin treatment does not appear to exert an independent influence on in-hospital morbidity or mortality in diabetic patients with non-COVID-19 ARDS.

关键词： Acute respiratory distress syndrome Type 2 diabetes mellitus Insulin Length of stay Mortality Endotracheal intubation Acute kidney injury Coronavirus disease 2019

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Deep-piRNA:Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features

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Computers, Materials & Continua 2022年第8期72卷 2243-2258页

作者： salman khan Mukhtaj khan Nadeem Iqbal Mohd Amiruddin Abd Rahman Muhammad Khalis Abdul Karim Department of Computer Science Abdul Wali Khan University MardanKhyber Pakhtunkhwa23200Pakistan Department of Information Technology University of HaripurKhyber Pakhtunkhwa22620Pakistan Faculty of Science Universiti Putra MalaysiaUPM Serdang43400Malaysia

Piwi-interacting Ribonucleic acids(piRNAs)molecule is a wellknown subclass of small non-codingRNAmolecules that are mainly responsible for maintaining genome integrity,regulating gene expression,and germline stem cell maintenance by suppressing transposon *** piRNAs molecule can be used for the diagnosis of multiple tumor types and drug *** to the vital roles of the piRNA in computational biology,the identification of piRNAs has become an important area of research in computational *** paper proposes a two-layer predictor to improve the prediction of piRNAs and their function using deep learning *** proposed model applies various feature extraction methods to consider both structure information and physicochemical properties of the biological sequences during the feature extraction *** outcome of the proposed model is extensively evaluated using the k-fold cross-validation *** evaluation result shows that the proposed predictor performed better than the existing models with accuracy improvement of 7.59%and 2.81%at layer I and layer II *** is anticipated that the proposed model could be a beneficial tool for cancer diagnosis and precision medicine.

关键词： Deep neural network DNC TNC CKSNAP PseDPC cancer discovery Piwi-interacting RNAs Deep-piRNA

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How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

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Machine Intelligence Research 2023年第5期20卷 605-613页

作者： Haotong Qin Ge-Peng Ji salman khan Deng-Ping Fan Fahad Shahbaz khan Luc Van Gool Computer Vision Lab(CVL) ETH ZurichZurich 8001Switzerland College of Engineering Computing&CyberneticsAustralian National UniversityCanberra 8105Australia Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi 999041UAE

Google's Bard has emerged as a formidable competitor to OpenAI's ChatGPT in the field of conversational ***,Bard has recently been updated to handle visual inputs alongside text prompts during *** Bard's impressive track record in handling textual inputs,we explore its capabilities in understanding and interpreting visual data(images)conditioned by text *** exploration holds the potential to unveil new insights and challenges for Bard and other forthcoming multi-modal Generative models,especially in addressing complex computer vision problems that demand accurate visual and language ***,in this study,we focus on 15 diverse task scenarios encompassing regular,camouflaged,medical,under-water and remote sensing data to comprehensively evaluate Bard's *** primary finding indicates that Bard still struggles in these vision scenarios,highlighting the significant gap in vision-based understanding that needs to be bridged in future *** expect that this empirical study will prove valuable in advancing future models,leading to enhanced capabilities in comprehending and interpreting finegrained visual *** project is released on https://***/htqin/GoogleBard-VisUnderstand.

关键词： Google Bard multi-modal understanding visual comprehension large language models conversational AI chatbot.

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Optimal Resource Allocation in Fog Computing for Healthcare Applications

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Computers, Materials & Continua 2022年第6期71卷 6147-6163页

作者： salman khan Ibrar Ali Shah Nasser Tairan Habib Shah Muhammad Faisal Nadeem Department of Computer Software Engineering University of Engineering and TechnologyMardan23200Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbhaK.S.A Informatics Complex H-8Islamabad44000Pakistan

In recent years,the significant growth in the Internet of Things(IoT)technology has brought a lot of attention to information and communication *** IoT paradigms like the Internet of Vehicle Things(IoVT)and the Internet of Health Things(IoHT)create massive volumes of data every day which consume a lot of bandwidth and ***,to process such large volumes of data,the existing cloud computing platforms offer limited resources due to their distance from IoT ***,cloudcomputing systems produce intolerable latency problems for latency-sensitive real-time ***,a newparadigm called fog computingmakes use of computing nodes in the form of mobile devices,which utilize and process the real-time IoT devices data in orders of *** paper proposes workload-aware efficient resource allocation and load balancing in the fog-computing environment for the *** proposed algorithmic framework consists of the following components:task sequencing,dynamic resource allocation,and load *** consider electrocardiography(ECG)sensors for patient’s critical tasks to achieve maximum load balancing among fog nodes and to measure the performance of end-to-end delay,energy,network consumption and average *** proposed algorithm has been evaluated using the iFogSim tool,and results with the existing approach have been *** experimental results exhibit that the proposed technique achieves a 45%decrease in delay,37%reduction in energy consumption,and 25%decrease in network bandwidth consumption compared to the existing studies.

关键词： Fog computing internet of health things resource management

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Diabetic Retinopathy Detection Using Classical-Quantum Transfer Learning Approach and Probability Model

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Computers, Materials & Continua 2022年第5期71卷 3733-3746页

作者： Amna Mir Umer Yasin salman Naeem khan Atifa Athar Riffat Jabeen Sehrish Aslam Department of Physics Comsats University IslamabadLahore CampusLahore54000Pakistan Department of Statistics Comsats University IslamabadLahore CampusLahore54000Pakistan Department of Computer Science Comsats University IslamabadLahore CampusLahore54000Pakistan

Diabetic Retinopathy(DR)is a common complication of diabetes mellitus that causes lesions on the retina that affect *** detection of DR can lead to irreversible *** manual diagnosis process of DR retina fundus images by ophthalmologists is time consuming and ***,Classical Transfer learning models are extensively used for computer aided detection of DR;however,their maintenance costs limits detection performance ***,Quantum Transfer learning is a better option to address this problem in an optimized *** significance of Hybrid quantum transfer learning approach includes that it performs ***,our proposed methodology aims to detect DR using a hybrid quantum transfer learning *** build our model we extract the APTOS 2019 Blindness Detection dataset from Kaggle and used inception-V3 pre-trained classical neural network for feature extraction and Variational Quantum classifier for stratification and trained our model on Penny Lane default device,IBM Qiskit BasicAer device and Google Cirq Simulator *** models are built based on PyTorch machine learning *** bring about a contrast performance rate between classical and quantum *** proposed model achieves an accuracy of 93%–96%on the quantum hybrid model and 85%accuracy rate on the classical ***,quantum computing can harness quantum machine learning to do work with power and efficiency that is not possible for classical computers.

关键词： Diabetic Retinopathy(DR) quantum transfer learning inceptionV3 variational quantum circuit image classification

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Offshore Software Maintenance Outsourcing Process Model Validation:A Case Study Approach

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Computers, Materials & Continua 2023年第3期74卷 5035-5048页

作者： Atif Ikram Masita Abdul Jalil Amir Bin Ngah Adel Sulaiman Muhammad Akram Ahmad salman khan Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala TerengganuMalaysia Department of Computer Science&Information Technology Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajranSaudi Arabia Department of Software Engineering Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan

The successful execution and management of Offshore Software Maintenance Outsourcing(OSMO)can be very beneficial for OSMO vendors and the OSMO *** a lot of research on software outsourcing is going on,most of the existing literature on offshore outsourcing deals with the outsourcing of software development *** frameworks have been developed focusing on guiding software systemmanagers concerning offshore software ***,none of these studies delivered comprehensive guidelines for managing the whole process of *** is a considerable lack of research working on managing OSMO from a vendor’s ***,to find the best practices for managing an OSMO process,it is necessary to further investigate such complex and multifaceted phenomena from the vendor’s *** study validated the preliminary OSMO process model via a case study research *** results showed that the OSMO process model is applicable in an industrial setting with few *** industrial data collected during the case study enabled this paper to extend the preliminary OSMO process *** refined version of the OSMO processmodel has four major phases including(i)Project Assessment,(ii)SLA(iii)Execution,and(iv)Risk.

关键词： Offshore outsourcing process model model validation vendor challenges case study

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Serious games in science education:a systematic literature review

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Virtual Reality & Intelligent Hardware 2022年第3期4卷 189-209页

作者： Mohib ULLAH Sareer Ul AMIN Muhammad MUNSIF Muhammad Mudassar YAMIN Utkurbek SAFAEV Habib khan salman khan Habib ULLAH Department of Computer Science Norwegian University of Science and Technology2815 GjøvikNorway Department of Computer Science Islamia College University Peshawar25000 Pakistan Department of Information Security and Communication Norwegian University of Science and Technology2815 GjøvikNorway Faculty of Science and Technology Norwegian University of Life Sciences1430ÅsNorway

Teaching science through computer games,simulations,and artificial intelligence(AI)is an increasingly active research *** this end,we conducted a systematic literature review on serious games for science education to reveal research trends and *** discussed the role of virtual reality(VR),AI,and augmented reality(AR)games in teaching science subjects like ***,we covered the research spanning between 2011 and 2021,investigated country-wise concentration and most common evaluation methods,and discussed the positive and negative aspects of serious games in science education in particular and attitudes towards the use of serious games in education in general.

关键词： Serious games Simulations,Artificial intelligence,Virtual reality,Augmented reality Games in education

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