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Commodity layout in supermarkets:using the integration of the comprehensive related value method and genetic algorithm

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Journal of Management Analytics 2023年第4期10卷 625-648页

作者： Chenxia Jin Fachao Li Yuqing Xia sohail S.Chaudhry School of Economics and Management Hebei University of Science and TechnologyShijiazhuangPeople’s Republic of China School of Education Nanchang Normal College of Applied TechnologyNanchangPeople’s Republic of China Department of Management and Operations Villanova School of BusinessVillanova UniversityVillanovaPAUSA

The existing shelf layout methods do not explicitly consider the attention and relevancy of the commodity systematically and thus have failed to capture the invalid associations,resulting in poor sales impact and customer *** such shortcomings,in this paper,we propose a mathematical programming approach for shelf layout problems based on comprehensive related ***,we introduce the concepts of related value considering both attention and relevancy;second,we give the concept of adjacent utility value and the freedom of placement,and further analyze the impact of the same commodity on surrounding commodities due to different placement positions;third,we establish a new comprehensive related value-based commodity layout optimization model(CRV-CL)and provide the solution steps integrating with a genetic ***,we analyze the characteristics of CRV-CL through a specific *** simulation results indicate the overall relevancy after applying the CRV-CL model.

关键词： Shelf layout comprehensive related value freedom of placement adjacent utility value genetic algorithm

Dissipative flow features of Carreau nanofluid with thermal radiation inside plane wall channel:Jeffery-Hamel analysis

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Propulsion and Power Research 2023年第2期12卷 253-272页

作者： sohail Rehman Hashim Fuad A.MAl-Yarimi Sultan Alqahtani Mohammed Awade Department Mechanical Engineering School of Material Sciences and EngineeringGeorgia Institute of TechnologyAtlantaGAUSA Department of Mathematics and Statistics University of HaripurHaripur 22620Pakistan Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia College of Engineering Mechanical Engineering DepartmentKing Khalid UniversityAbhaSaudi Arabia Department of Information Systems King Khalid UniversityMuhayel AseerSaudi Arabia

The current article communicates a numerical investigation on laminar flow of dissipative generalized Newtonian Carreau nanofluid flowing through vertical conduit with converging and diverging plane *** and concentration characteristics due to enthalpy change,activation energy,and non-linear thermal radiation have been examined in the presence of buoyancy *** channel walls for both temperature and volumetric fraction are assumed to be *** instability mechanism of nanofluids is reported using a two-phase nanofluid model,which works reasonably well for nanoparticle concentrations below a certain threshold.A Jeffery-Hamel(J-H)flow model is developed by assuming an incompressible purely radial flow of Carreau nanofluids with heat and mass *** the suitable non-dimensional variables,the resulting nonlinear partial differential equations are turned into a system of ordinary differential *** modified governing equations are then numerically solved using the built-in boundary value problem solver bvp4c,on the template form of commercial software *** impacts of material,geometrical and thermophysical parameters governing the J-H problem are discussed and *** indicate that higher buoyance forces incline the velocity profiles in converging enclosure,while a slight reduction is perceived in opposing forces.A significant decrease of wall heat transmission is reflected for larger values of activation energy and radiation *** endorsing this communication,a comparison analysis is established with existing research and noticed a remarkable ***,the flow inside converging and diverging channels are deployed in nuclear reactors that use plate-type nuclear energies,high heat-flux condensed heat exchangers,high-performance micro-electronic cooling systems,jets,rockets nozzles,and jet propulsion inlet.

关键词： Nanofluids Buoyancy forces Converging/diverging channels Thermal radiation Activation energy Carreau fluid

Benchmarking Performance of Document Level Classification and Topic Modeling

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Computers, Materials & Continua 2022年第4期71卷 125-141页

作者： Muhammad Shahid Bhatti Azmat Ullah Rohaya Latip Abid sohail Anum Riaz Rohail Hassan Department of Computer Science COMSATS University IslamabadLahorePakistan Department of Communication Technology and Network Faculty of Computer ScienceUniversiti Putra MalaysiaSelangor43400Malaysia Othman Yeop Abdullah Graduate School of Business(OYAGSB) Universiti Utara Malaysia(UUM)Kuala Lumpur50300Malaysia

Text classification of low resource language is always a trivial and challenging *** paper discusses the process of Urdu news classification and Urdu documents *** is one of the most famous spoken languages in *** implementation of computational methodologies for text classification has increased over ***,Urdu language has not much experimented with research,it does not have readily available datasets,which turn out to be the primary reason behind limited research and applying the latest methodologies to the *** overcome these obstacles,a mediumsized dataset having six categories is collected from authentic Pakistani news *** is a rich but complex *** processing can be challenging for Urdu due to its complex features as compared to other *** frequency-inverse document frequency(TFIDF)based term weighting scheme for extracting features,chi-2 for selecting essential features,and Linear discriminant analysis(LDA)for dimensionality reduction have been *** matrix and cosine similarity measure have been used to identify similar documents in a collection and find the semantic meaning of words in a document FastText model has been *** training-test split evaluation methodology is used for this experimentation,which includes 70%for training data and 30%for testing ***-of-the-art machine learning and deep dense neural network approaches for Urdu news classification have been ***,we trained Multinomial Naïve Bayes,XGBoost,Bagging,and Deep dense neural *** and deep dense neural network outperformed the other *** experimental results show that deep dense achieves 92.0%mean f1 score,and Bagging 95.0%f1 score.

关键词： Deep neural network machine learning natural language processing TFIDF sparse matrix cosine similarity classification linear discriminant analysis gradient boosting

Enhancing ChatGPT’s Querying Capability with Voice-Based Interaction and CNN-Based Impair Vision Detection Model

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Computers, Materials & Continua 2024年第3期78卷 3129-3150页

作者： Awais Ahmad sohail Jabbar Sheeraz Akram Anand Paul Umar Raza Nuha Mohammed Alshuqayran College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudia Arabia 2 School of Computer Science and EngineeringKyungpook National UniversityDaegu41566South Korea 3 Department of EngineeringManchester Metropolitan UniversityManchesterM156BHUK

This paper presents an innovative approach to enhance the querying capability of ChatGPT,a conversational artificial intelligence model,by incorporating voice-based interaction and a convolutional neural network(CNN)-based impaired vision detection *** proposed system aims to improve user experience and accessibility by allowing users to interact with ChatGPT using voice ***,a CNN-based model is employed to detect impairments in user vision,enabling the system to adapt its responses and provide appropriate *** research tackles head-on the challenges of user experience and inclusivity in artificial intelligence(AI).It underscores our commitment to overcoming these obstacles,making ChatGPT more accessible and valuable for a broader *** integration of voice-based interaction and impaired vision detection represents a novel approach to conversational ***,this innovation transcends novelty;it carries the potential to profoundly impact the lives of users,particularly those with visual *** modular approach to system design ensures adaptability and scalability,critical for the practical implementation of these ***,the solution places the user at its *** responses for those with visual impairments demonstrates AI’s potential to not only understand but also accommodate individual needs and preferences.

关键词： Accessibility in conversational AI CNN-based impair vision detection ChatGPT voice-based interaction recommender system

Study on brittleness templates for shale gas reservoirs——A case study of Longmaxi shale in Sichuan Basin,southern China

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Petroleum Science 2021年第5期18卷 1370-1389页

作者： Qamar Yasin Ghulam Mohyuddin sohail Ke-Yu Liu Qi-Zhen Du Cyril DBoateng The Key Laboratory of Deep Oil and Gas China University of Petroleum(East China)Qingdao266580China Qingdao National Laboratory for Marine Science and Technology Laboratory for Marine Mineral ResourcesQingdao266237China Department of Civil Geological and Environmental EngineeringUniversity of SaskatchewanSaskatoonS7N 5C5Canada Department of Geological Engineering University of Engineering and TechnologyLahorePakistan

Differentiating brittle zones from ductile zones in low permeability shale formations is imperative for efficient hydraulic fracturing *** brittleness index(BI) is used to describe the rock resistance to hydraulic fracture initiation and propagation and measures the ease at which complex fracture networks can be *** this study,we constructed brittleness templates through the correlation of fundamental rock properties and geomechanical *** then employed the templates to distinguish the brittle,ductile,and brittle-ductile transition zones in the Longmaxi shale gas reservoir,Sichuan Basin of southern *** approach works in two ***,we suggest a new expression for the mineralogical BI by their respective weights based on the analysis of correlation coefficients between mechanical testing and XRD ***,we correlate TOC,porosity,pore fluid,natural fractures,and improved BI model with multiple elastic properties to define the brittle,ductile,and transitional zones in the Longmaxi shale gas reservoir of *** with the traditional mineralogy-based BI definition,the improved BI model differentiates the brittle and ductile zones and provides a better sense of the most suitable fracturing *** results show that the brittleness templates,which combine fundamental rock properties,improved BI model,and geomechanical characterization led to identifying favorable zones for hydraulic fracturing and enhanced shale *** proposed brittleness templates’ effectiveness was verified using data from horizontal wells,offset wells,shale gas wells from different origins,laboratory core testing,and seismic inversion of BI across the studied wells.

关键词： Brittleness index Geomechanical properties Petrophysical parameters Longmaxi shale

Nonlinear Active Noise Control system using Nature-Inspired Algorithm for Coefficients updates of Adaptive Volterra filter

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Nonlinear Active Noise Control system using Nature-Inspired ...

Vascular and Morphogenetic Abnormalities Associated with Exposure of Cigarette Smoke Condensate during Chicken and Murine Embryogenesis

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作者： Muhammad Alamgeer khan Muhammad Aurang Zeb khan Muhammad sohail Wang Lei Department of Automation University of Science and Technology of China

In this paper,natured inspired firework algorithm is used to update the coefficients of adaptive Volterra filter based ANC systems without identification of secondary path *** concept of mean squared error sense is used to develop the cost *** algorithm based ANC systems having sinusoidal noise signal,random noise signal and complex random noise signal while taking primary and secondary paths as linear/*** based on Statistics validated the worth of stochastic solvers FWA by means of accuracy,complexity analysis and *** results of the proposed algorithm is compared with the backtracking search algorithm（BSA） and particle swarm optimization（PSO）.

关键词： Active noise control(ANC) Firework algorithm(FWA) Mean squared error(MSE) System identification Backtracking Search Algorithm(BSA) Particle Swarm Optimization(PSO)

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Biomedical and Environmental Sciences 2010年第4期23卷 305-311页

作者： sohail EJAZ AHMED EJAZ AMARA sohail CHAE WOONG LIM Department of Clinical Neurosciences Neurology Unit Addenbrookes Hospital University of Cambridge District Headquarter Hospital Government Social Security Hospital Gujranwala Pakistan Biosafety Research Institute and College of Veterinary Medicine Chonbuk National University

Objective Embryonic movements （EM） and angiogenesis pathways are evolutionarily conserved mechanisms which are essential for proper embryonic development. Deviations in these processes by exposure to cigarette smoke condensate （CSC） may cause vascular and morphogenetic disorders. Methods Using chicken and mouse embryos, we have demonstrated the in vivo effects of CSC on EM, vascular development, and organogenesis. Results Examination of the CSC exposed chicken embryos revealed a significant reduction in EM, stunted growth, deviated pattern of blood vessels, hemorrhages, and localized necrosis. Likewise, mouse embryos that were exposed to CSC at E8.5 and E9.5 died between E11.5 and E12.5, respectively. These mouse embryos showed defects in morphogenesis and remodeling of the embryonic vasculature, while littermate controls showed normal development. Conclusion Cigarette smoking during pregnancy is fatal for growing embryos. CSC may induce the remodeling of embryonic vasculature, leading to various pathologies.

关键词： Angiogenesis Embryonic movements Cigarette smoke condensate Vascular remodeling

Comparative phytochemical,thin layer chromatographic profiling and antioxidant activity of extracts from some Indian herbal drugs

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Journal of Bioresources and Bioproducts 2022年第2期7卷 46-52页

作者： Md sohail Akhtar Mohamed Rafiullah Wegdan Aly Shehata Amzad Hossain Mohammed Ali School of Pharmacy College of Pharmacy and NursingUniversity of NizwaNizwaOman Phytochemistry Research Laboratory Department of Pharmacognosy and PhytochemistryFaculty of PharmacyJamia HamdardNew DelhiIndia Strategic Center for Diabetes Research College of MedicineKing Saud UniversityRiyadhSaudi Arabia

Natural antioxidants play a significant role to prevent cell breaking and regenerate *** plants native to India named dwarf morning-glory(Evolvulus alsinoides),Indian banyan(Ficus bengalensis)and chicory(Chicorium intybus)are used as medicine in India traditionally to treat *** aim of this study is to evaluate and compare the antioxidant activity as well as to compare phytochemical profiles of the aqueous extracts of the selected three *** dried plant powder was extracted with ethanol individually by using the Soxhlet method for eight hours and the solvent was evaporated under reduced ***,the air-dried powder was ex-tracted with water,and the water was *** thin layer chromatography(TLC)profile of the extracts was determined by using TLC densitometer and the antioxidant activity was deter-mined by the conventional 2,2-diphenyl-1-picrylhydrazyl(DPPH)*** TLC profile shows that there are no similarities of retention factor(R f)values among the plant extracts which means all three plants contain different chemical *** antioxidant activities of the aqueous extracts at different concentrations show different antioxidant *** inhibition is dose dependent,as doses are increasing then percentage inhibition is also increasing for all three plant *** the selected plants,the highest activity was found in *** and the lowest was in *** order of the antioxidant activity among the selected plants was ***<***<*** on the TLC profile and antioxidant activities,the highest activity of the selected plant species was evaluated.

关键词： Indian drug Thin layer chromatography(TLC)profile Plant extract Antioxidant activity

A Multi-Modal Deep Learning Approach for Emotion Recognition

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Intelligent Automation & Soft Computing 2023年第5期36卷 1561-1570页

作者： H.M.Shahzad sohail Masood Bhatti Arfan Jaffar Muhammad Rashid The Superior University LahorePakistan National University of Technology IslamabadPakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan

In recent years,research on facial expression recognition(FER)under mask is *** a mask for protection from Covid 19 has become a compulsion and it hides the facial expressions that is why FER under the mask is a difﬁcult *** prevailing unimodal techniques for facial recognition are not up to the mark in terms of good results for the masked face,however,a multi-modal technique can be employed to generate better *** proposed a multi-modal methodology based on deep learning for facial recognition under a masked face using facial and vocal *** multimodal has been trained on a facial and vocal *** have used two standard datasets,M-LFW for the masked dataset and CREMA-D and TESS dataset for vocal *** vocal expressions are in the form of audio while the faces data is in image form that is why the data is *** order to make the data homogeneous,the voice data is converted into images by taking spectrogram.A spectrogram embeds important features of the voice and it converts the audio format into the ***,the dataset is passed to the multimodal for *** network and the experimental results demonstrate that the proposed multimodal algorithm outsets unimodal methods and other state-of-the-art deep neural network models.

关键词： Deep learning facial expression recognition multi-model neural network speech emotion recognition spectrogram covid-19