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Examining the interplay between artificial intelligence and the agri-food industry

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Artificial Intelligence in Agriculture 2022年第1期6卷 111-128页

作者： Abderahman Rejeb karim Rejeb Suhaiza Zailani John G.Keogh Andrea Appolloni Department of Management and Law Faculty of EconomicsUniversity of Rome Tor VergataVia Columbia2Rome 00133Italy Faculty of Sciences of Bizerte University of CarthageTunisTunisia Department of Management Faculty of Business and EconomicsUniversity MalayaKuala Lumpur50203Malaysia Henley Business School University of ReadingGreenlandsHenley-on-Thames RG93AUUK

Artificial intelligence(AI)has advanced at an astounding rate and transformed numerous economic ***,a comprehensive understanding of how AI can improve the agri-food industry is *** addition,there is a notable dearth of research on AI that investigates the influence of AI on agri-food resources and educates practitioners on the significance of knowledge-based and smart *** utilised bibliometric analysis to investigate the present state of the art and emerging trends in the relationship between AI and the agri-food *** research identified three distinct growth phases and the most prevalent AI strategies in the *** addition,we analysed key trends and offered researchers and practitioners insightful recommendations for future *** resource-based view(RBV)as the theoretical lens,this study established a framework emphasising the long-term effects of AI on various agri-food resources and proposed several research *** addition,AI-related obstacles have been identified and categorised into four major ***,the originality of the article lies in its numerous research suggestions and recommendations for advancing the AI field in the agri-food industry.

关键词： Artificial intelligence Agriculture Farming Machine learning Deep learning Bibliometric analysis Resource-based view

An Improved Deep Structure for Accurately Brain Tumor Recognition

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Computer Systems Science & Engineering 2023年第8期46卷 1597-1616页

作者： Mohamed Maher Ata Reem N.Yousef Faten Khalid karim Doaa Sami Khafaga Department of Communications and Electronics Engineering MISR Higher Institute for Engineering and TechnologyMansoura35516Egypt Department of Electronics and Communications Delta Higher Institute for Engineering and TechnologyMansoura35516Egypt Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Brain neoplasms are recognized with a biopsy,which is not commonly done before decisive brain *** using Convolutional Neural Networks(CNNs)and textural features,the process of diagnosing brain tumors by radiologists would be a noninvasive *** paper proposes a features fusion model that can distinguish between no tumor and brain tumor types via a novel deep learning *** proposed model extracts Gray Level Co-occurrence Matrix(GLCM)textural features from MRI brain tumor ***,a deep neural network(DNN)model has been proposed to select the most salient features from the ***,it manipulates the extraction of the additional high levels of salient features from a proposed CNN ***,a fusion process has been utilized between these two types of features to form the input layer of additional proposed DNN model which is responsible for the recognition *** common datasets have been applied and tested,Br35H and FigShare *** first dataset contains binary labels,while the second one splits the brain tumor into four classes;glioma,meningioma,pituitary,and no ***,several performance metrics have been evaluated from both datasets,including,accuracy,sensitivity,specificity,F-score,and training *** results show that the proposed methodology has achieved superior performance compared with the current state of art *** proposed system has achieved about 98.22%accuracy value in the case of the Br35H dataset however,an accuracy of 98.01%has been achieved in the case of the FigShare dataset.

关键词： Brain tumor convolutional neural network gray level co-occurrence matrix noninvasive FigShare dataset Br35H dataset

Spatio-temporal variation of cyclone intensity over the coastal region of Bangladesh using 134 years track analysis

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Tropical Cyclone Research and Review 2022年第1期11卷 16-25页

作者： Nm Refat Nasher Kh Razimul karim Md Yachin Islam Department of Geography and Environment Jagannath UniversityBangladesh Graduate School of Human Development and Environment Kobe UniversityJapan Center for Environmental and Geographic Information Services(CEGIS) DhakaBangladesh

The cyclone tracks from 1877 to 2020 were analyzed to detect the spatial and temporal *** tracks were gathered from previously published *** previous articles’tracks were digitized and converted to shape files for analysis in Arc-GIS.A total 126 cyclone tracks were used to detect monthly and seasonal cyclone intensity and spatial *** fluctuations were examined over a 30-year period,which is believed to be the climate of a particular *** cyclones hit the Bay of Bengal’s coast starting in May and lasting until *** May and October,the number of cyclones is at its peak(26 nos in each month).From June through September,the number of cyclones *** October and November,the number of cyclones increased *** number of cyclones substantially fell in December,and no cyclones were observed from January through *** 1939 through 1969,the highest number of cyclones(36)was *** the mid-and latetwentieth century,there were a higher number of *** coastal region of Bangladesh suffered the fewest cyclones in history over the recent era(2001–2020).The western shore was particularly vulnerable from 1877 to 1907,and the entire coastal region was dangerous from 1908 to *** the Post-monsoon(October to December)season,the number of cyclones is lower than in the Monsoon period(May to September).In the pre-monsoon season,71 cyclones strike,while in the Monsoon season,53 cyclones strike.

关键词： Digitize Tropical Seasonal Monthly Strike Coastal

Switchable dual-wavelength fiber ring laser featuring twin-core photonic crystal fiber-based filter

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Chinese Optics Letters 2014年第2期12卷 27-29页

作者： Khurram karim Qureshi Electrical Engineering Department King Fahd University of Petroleum and Minerals

A simple configuration for the generation of a switchable dual-wavelength fiber ring laser is *** proposed configuration employs a short twin-core photonic crystal fiber acting as a Mach–Zehnder interferometer at roo... 详细信息

关键词： PCF length Switchable dual-wavelength fiber ring laser featuring twin-core photonic crystal fiber-based filter core ring

Maximizing dirty-paper coding rate of RIS-assisted multi-user MIMO broadcast channels

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Intelligent and Converged Networks 2022年第1期3卷 64-73页

作者： Mohamed A.Elmossallamy Radwa Sultan karim G.Seddik Geoffery Ye Li Zhu Han Qualcomm Inc. BoxboroughMA 01719USA Electrical and Computer Engineering Department and the Computer Science Department University of HoustonHoustonTX 77004USA. the Electrical and Computer Engineering Department Manhattan CollegeRiverdaleNY 10471USA. Electronics and Communications Engineering Department American University in CairoNew Cairo 11835Egypt. Department of Electrical and Electronic Engineering Imperial College LondonLondonSW72AZUK

We consider a downlink multi-user scenario and investigate the use of reconfigurable intelligent surfaces(RISs)to maximize the dirty-paper-coding(DPC)sum rate of the RIS-assisted broadcast *** from prior works,which maximize the rate achievable by linear precoders,we assume a capacity-achieving DPC scheme is employed at the transmitter and optimize the transmit covariances and RIS reflection coefficients to directly maximize the sum capacity of the broadcast *** propose an optimization algorithm that iteratively alternates between optimizing the transmit covariances using convex optimization and the RIS reflection coefficients using Riemannian manifold *** results show that the proposed technique can be used to effectively improve the sum capacity in a variety of scenarios compared to benchmark schemes.

关键词： broadcast channels dirty-paper coding multiple-input-multiple-output(MIMO) reconfigurable intelligent surfaces

On Crossed Product Algebras over Henselian Valued Fields

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Algebra Colloquium 2020年第3期27卷 389-404页

作者： Driss Bennis karim Mounirh Faculty of Sciences Research Center CeReMAR Mohammed V University in RabatRabatMorocco

Let D be a tame central division algebra over a Henselian valued field E,D be the residue division algebra of D,E be the residue field of E,and n be a positive *** prove that M_(n)(D)has a strictly maximal subfield which is Galois(resp.,abelian)over E if and only if M_(n)(D)has a strictly maximal subfield K which is Galois(resp.,abelian)and tame over E withГ_(K)■Г_(D),whereГ_(K)andГ_(D)are the value groups of K and D,*** partially generalizes the result proved by Hanke et *** 2016 for the case n=1.

关键词： (graded)Brauer group valued division algebras Henselization graded division algebras gauges

Detecting Android Botnet Applications Using Convolution Neural Network

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Computers, Materials & Continua 2023年第11期77卷 2123-2135页

作者： Mamona Arshad Ahmad karim Salman Naseer Shafiq Ahmad Mejdal Alqahtani Akber Abid Gardezi Muhammad Shafiq Jin-Ghoo Choi Department of Information Technology Bahauddin Zakariya UniversityMultan60000Pakistan Department of Information Technology University of the Punjab Gujranwala CampusGujranwala52250Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

The exponential growth in the development of smartphones and handheld devices is permeated due to everyday activities i.e.,games applications,entertainment,online banking,social network sites,etc.,and also allow the end users to perform a variety of *** of activities,mobile devices attract cybercriminals to initiate an attack over a diverse range of malicious activities such as theft of unauthorized information,phishing,spamming,Distributed Denial of Services(DDoS),and malware *** applications are a type of harmful attack that can be used to launch malicious activities and has become a significant threat in the research area.A botnet is a collection of infected devices that are managed by a botmaster and communicate with each other via a command server in order to carry out malicious *** the rise in malicious attacks,detecting botnet applications has become more ***,it is essential to investigate mobile botnet attacks to uncover the security issues in severe financial and ethical damages caused by a massive coordinated command *** state of the art,various solutions were provided for the detection of botnet applications,but in general,the researchers suffer various techniques of machine learning-based methods with static features which are usually ineffective when obfuscation techniques are used for the detection of botnet *** this paper,we propose an approach by exploring the concept of a deep learning-based method and present a well-defined Convolutional Neural Network(CNN)*** the visualization approach,we obtain the colored images through byte code files of applications and perform an *** analysis of the results of an experiment,we differentiate the performance of the model from other existing research ***,our method outperforms with 94.34%accuracy,92.9%of precision,and 92%of recall.

关键词： CNN botnet applications machine learning image processing

On Direct Limits of Finite Products of Fields as Subrings of a Commutative Ring

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Algebra Colloquium 2016年第2期23卷 243-249页

作者： D. karim Department of Mathematics Faculty of Nador University Mohamed First P.O. Box 300 62702 Nador Morocco

Let R be a commutative ring. In this paper, we develop the existence of direct limits of finite products of fields as subrings of R.

关键词： Artinian ring direct limit of finite products of fields infinite product von Neumann regular ring zero-dimensional ring

Wheat breeding for Hessian fly resistance at ICARDA

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The Crop Journal 2022年第6期10卷 1528-1535页

作者： Wuletaw Tadesse Samira El-Hanafi karim El-Fakhouri Imane Imseg Fatima Ezzahra Rachdad Zakaria El-Gataa Mustapha El Bouhssini International Center for Agricultural Research in the Dry Areas(ICARDA) P.O.Box 6299RabatMorocco Biodiversity and Plant Sciences Program AbroBioSciencesMohammed VI Polytechnic UniversityLot 660-Hay Moulay Rachid43150 Ben GuerirMorocco

Hessian fly(HF),Mayetiola destructor(Say)is an important pest of wheat in North Africa,North America,Southern Europe,Northern Kazakhstan,Northwestern China,and New *** can cause up to 30%yield losses and sometimes can result in complete crop failure if infestation coincides with young stage of the wheat *** to-date have shown the availability of genetic diversity in the wheat genetic resources(landraces,wild relatives,cultivars,etc.)for resistance to Hessian *** 37 resistance genes have been reported from these wheat genetic resources for resistance to Hessian fly,of which,some have been deployed singly or in combination in the breeding programs to develop high yielding varieties with resistance to *** of resistant varieties in different agro-ecologies with other integrated management measures plays key role for the control of *** paper summarizes the importance,life cycle,mechanisms of resistance,gene mining,and wheat breeding efforts for HF resistance.

关键词： Breeding Gene introgression Hessian fly Resistance