检索结果-南通市图书馆

Artificial Intelligence Enabled Future Wireless Electric Vehicles with Multi-Model Learning and Decision Making Models

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Tsinghua Science and Technology 2024年第6期29卷 1776-1784页

作者： Gajula Ramesh anil kumar budati Shayla Islam Louai A.Maghrabi Abdullah Al-Atwai Department of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering&TechnologyHyderabad 500090India Institute of Computer Science and Digital Innovation(ICSDI) UCSI UniversityKuala Lumpur 56000Malaysia also with Department of ECE KoneruLakshmaiah Education FoundationHyderabad 500090India ICSDI UCSI UniversityKuala Lumpur 56000Malaysia Department of Software Engineering College of EngineeringUniversity of Business and TechnologyJeddah 21448Kingdom of Saudi Arabia Department of Computer Science Applied CollegeUniversity of TabukTabuk 47512Kingdom of Saudi Arabia

In the contemporary era,driverless vehicles are a reality due to the proliferation of distributed technologies,sensing technologies,and Machine to Machine(M2M)***,the emergence of deep learning techniques provides more scope in controlling and making such vehicles energy *** existing methods,it is understood that there have been many approaches found to automate safe driving in autonomous and electric vehicles and also their energy ***,the models focus on different aspects *** is need for a comprehensive framework that exploits multiple deep learning models in order to have better control using Artificial Intelligence(AI)on autonomous driving and energy *** this end,we propose an AI-based framework for autonomous electric vehicles with multi-model learning and decision *** focuses on both safe driving in highway scenarios and energy *** deep learning based framework is realized with many models used for localization,path planning at high level,path planning at low level,reinforcement learning,transfer learning,power control,and speed *** reinforcement learning,state-action-feedback play important role in decision *** simulation implementation reveals that the efficiency of the AI-based approach towards safe driving of autonomous electric vehicle gives better performance than that of the normal electric vehicles.

关键词： wireless vehicles deep learning multi-model learning reinforcement learning Artificial Intelligence(Al)

Content-based image retrieval using Gaussian-Hermite moments and firefly and grey wolf optimization

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CAAI Transactions on Intelligence Technology 2021年第2期6卷 135-146页

作者： Yasasvy Tadepalli Meenakshi Kollati Swaraja Kuraparthi Padmavathi Kora anil kumar budati Lakshmi Kala Pampana Department of ECE GRIETHyderabadIndia Department of ECE VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia

Rapid growth in the transfer of multimedia information over the Internet requires algorithms to retrieve a queried image from large image database *** proposed content-based image retrieval(CBIR)uses Gaussian-Hermite moments as the low-level *** these features are compressed with principal component *** compressed feature set is multiplied with the weight matrix array,which has the same size as the feature *** firefly and grey wolf optimization(FAGWO)is used to prevent the premature convergence of optimization in the firefly *** retrieval of images in CBIR is carried out in an OpenCV python environment with K-nearest neighbours and random forest algorithm *** fitness function for FAGWO is the accuracyof the *** FAGWO algorithm derives the optimum weights from a randomlygenerated initial *** these optimized weights are applied,the proposed algorithm shows better precision/recall and efficiency than other techniques such as exact legendre moments,Region-based image retrieval,K-means clustering and Color descriptor wavelet-based texture descriptor retrieval *** terms of optimization,hybrid FAGWO outperformed various optimization techniques(when used alone)like Particle Swarm Optmization,Genetic Algorithm,Grey-Wolf Optimization and FireFly algorithm.

关键词： python optimization image

Performance Analysis of Three Spectrum Sensing Detection Techniques with Ambient Backscatter Communication in Cognitive Radio Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2023年第10期137卷 813-825页

作者： Shayla Islam anil kumar budati Mohammad Kamrul Hasan Saoucene Mahfoudh Syed Bilal Hussian Shah Institute of Computer Science&Digital Innovation ICSDIUCSI UniversityKuala Lumpur56000Malaysia Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)Selangor43600Malaysia School of Engineering Computing and InformaticsDar Al-Hekma UniversityJeddah22246Saudi Arabia

In wireless communications, the Ambient Backscatter Communication (AmBC) technique is a promisingapproach, detecting user presence accurately at low power levels. At low power or a low Signal-to-Noise Ratio(SNR), there is no dedicated power for the users. Instead, they can transmit information by reflecting the ambientRadio Frequency (RF) signals in the spectrum. Therefore, it is essential to detect user presence in the spectrum forthe transmission of data without loss or without collision at a specific time. In this paper, the authors proposed anovel Spectrum Sensing (SS) detection technique in the Cognitive Radio (CR) spectrum, by developing the *** Matched Filter Detection with Inverse covariance (MFDI), Cyclostationary Feature Detection with Inversecovariance (CFDI) and Hybrid Filter Detection with Inverse covariance (HFDI) approaches are used with AmBCto detect the presence of users at low power levels. The performance of the three detection techniques is measuredusing the parameters of Probability of Detection (PD), Probability of False Alarms (Pfa), Probability of MissedDetection (Pmd), sensing time and throughput at low power or low SNR. The results show that there is a significantimprovement via the HFDI technique for all the parameters.

关键词： Ambient backscatter communication cognitive radio MFDI CFDI HFDI

Unlocking hypoglycemia–associated brain microvascular dysfunction:critical insights from proteomic analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第6期20卷 1707-1708页

作者： Siva S.V.P.Sakamuri anil Sakamuri Department of Chemistry Auburn University at MontgomeryMontgomeryALUSA Vascular Biology Center and Department of Medicine Medical College of Georgia at Augusta UniversityAugustaGAUSA

Hypoglycemia-a critical complication linked to worsened brain function in diabetic subjects:Hypoglycemia is characterized by a decline in circulatory glucose levels below sta nda rd physiological *** hypoglycemia,classified as level 1 hypoglycemia,is defined by blood glucose levels below 70 mg/dL and can be effectively addressed through carbohydrate *** hypoglycemia,denoted by blood glucose levels less than 54 mg/dL,poses a life-threatening risk if left *** with type 1 and type 2 diabetes undergoing insulin treatment are particularly susceptible to hypoglycemia due to impaired counterregulatory mechanisms.

关键词： impaired intake critical

Energy Efficient Ambience Awake Routing with OpenFlow Approach

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第5期67卷 2049-2059页

作者： Hima Bindu Valiveti SNV Ganesh budati anil kumar Dileep kumar Yadav Department of ECE GRIETHyderabad500090India Department of EEE Avanthi Institute of Engineering and TechnologyVisakhapatnam535006India Department of CSE Galgotia’s UniversityNoida201310India

A major problem in networking has always been energy *** life is one parameter which could help improve Energy *** research on wireless networking stresses on reducing signaling messages or time required for data transfer for addressing energy consumption *** or Forwarding packets in a network between the network elements like routers,switches,wireless access points,etc.,is complex in conventional *** the advent of Software Defined Networking(SDN)for 5G network architectures,the distributed networking has embarked onto centralized networking,wherein the SDN Controller is responsible for decision *** controller pushes its decision onto the network elements with the help of a control plane protocol termed *** networks have been largely in use because of their ease in physical and logically setting the administrative *** centralized controller deals with the policy funding and the protocols used for routing procedures are designated by the decentralized *** Awake is a location centered routing protocol deployed in the 5G network architecture with OpenFlow *** Ambience Awake mechanism relies on the power consumption of the network elements during the packet transmission for unicast and multicast *** signalling load and the routing overhead witnessed an improvement of 30%during the routing *** proposed routing mechanism run on the top of the decentralized SDN controller proves to be 19.59%more efficient than the existing routing solutions.

关键词： Energy efficiency routing smart networks 5G software defined networking openflow

Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Tungsten 2025年第1期7卷 137-151页

作者： Geethukrishnan Onkar Apte Kiran kumar Tadi Energy Electrodics and Electrocatalysis (EEE) Lab Department of Chemistry School of Advanced Sciences Vellore Institute of Technology School of Computer Science and Engineering Vellore Institute of Technology

The precise detection and measurement of dopamine（DA）,a crucial neurotransmitter in the human body,plays a significant role in diagnosing,preventing,and treating neurological diseases associated with its levels.A highly sensitive DA electrochemical sensor was constructed by combining molybdenum disulfide quantum dots（MSQDs） with multiwalled carbon nanotubes（MWCNTs）.The MSQDs were synthesized using the shear exfoliation *** sensors consist of MSQDs with Mo-S edge catalytic centers for the DA redox reaction,and MWCNTs amplify the sensor *** linearity of the sensor for the detection of DA was tested in the presence of ascorbic acid(AA,50 μmol·L-1) and uric acid(UA,200 μmol·L-1),and exhibited linearity from 2 to 966 μmol·L-1of DA with 0.097 μA(mol·L-1)-1sensitivity and a low limit of detection of0.6 μmol·L-1（the ratio between signal and noise,S/N=3）.Moreover,the sensitivity and selectivity of the sensor were also studied using *** is no increase in amperometric current after adding the most potentially interfering *** sensor was successfully applied to recover DA in human blood sera ***,machine learning algorithms were operated to aid in the near-precise detection of DA in the heterogeneous mixture containing AA and *** algorithms facilitate the identification and quantification of DA amidst coexisting interferents,including AA,that are commonly present in biological matrices.

关键词： Biosensor Complex mixture Dopamine Machine learning MoS2 Multiwalled carbon nanotubes

Translocator protein and neurodegeneration: insights from Alzheimer’s disease

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第4期20卷 1090-1091页

作者： Arpit kumar Pradhan Rainer Rupprecht Gerhard Rammes Klinik für Anaesthesiologie und Intensivmedizin der Technischen Universität München Klinikum rechts der IsarMunichGermany Graduate School of Systemic Neurosciences Ludwig-Maximilians-Universität MünchenMartinsriedGermany Department of Psychiatry and Psychotherapy University RegensburgRegensburgGermany

The 18 kDa translocator protein(TSPO)located on the outer mitochondrial membrane regulates several key cellular processes including mitochondrial homeostasis,cholesterol transport,apoptosis,cell proliferation,and maintenance of mitochondrial health(Rupprecht et al.,2022,2023).TSPO is expressed in both peripheral organs and the central nervous system,with a more pronounced expression in tissues that produce *** main reason why TSPO has garnered so much attention is because it plays a key role in neurosteroidogenesis by transferring cholesterol from the outer to the inner mitochondrial membrane,which is the rate-limiting step in neurosteroid synthesis.A cholesterol-recognizing amino acid consensus domain has been identified in the cytosolic C terminus of the TSPO protein by both in vitro and site-directed mutagenesis experiments(Li et al.,2001).However,the role of TSPO in the process of neurosteroid synthesis has been challenged by several studies,particularly TSPO knockout models,which suggest that TSPO removal does not affect the phenotype or the system’s viability(Tu et al.,2014).However,ligands targeting TSPO have been shown to enhance levels of neurosteroids which suggests that neurosteroidogenesis is one of the major functional roles mediated by the TSPO protein.

关键词： cholesterol organs

Study of intermolecular interactions in binary mixtures of methyl acrylate with benzene and methyl substituted benzenes at different temperatures:An experimental and theoretical approach

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2022年第4期35卷 212-238页

作者： anil kumar Nain Department of Chemistry Dyal Singh College(University of Delhi)New Delhi 110003India

The ultrasonic speeds,u and viscosities,ηof the binary mixtures of methyl acrylate with benzene,toluene,o-xylene,m-xylene,p-xylene,and mesitylene over the whole mole fraction range were measured at six different temperatures and at atmospheric *** the experimental data,the excess isentropic compressibility,κ_(s)^(E),excess ultrasonic speed,u^(E),excess molar isentropic compressibility,K_(s,m)^(E),excess specific impedance,Z^(E)and deviations in viscosity,Δηhave been *** partial molar isentropic compressions,K_(s,m,1) and K_(s,m,2),and excess partial molar isentropic compressions,K_(s,m,1)^(-E) and K_(s,m,2)^(-E) over the whole composition range,partial molar isentropic compressions,K_(s,m,1)^(-)and K_(s,m,2)^(-),and excesspartial molar isentropic compressions,K_(s,m,1)^(-E) and K_(s,m,2)^(-E)of the components at infinite dilution have also been *** results specified the existence of weak interactions between unlike molecules,and these interactions follow the order:benzene>toluene>p-xylene>m-xylene>o-xylene>mesityle *** magnitude of interactions was found to be dependent on the number and position of the methyl groups in these aromatic hydrocarbons.

关键词： Ultrasonic speed Viscosity Methyl acrylate Aromatic hydrocarbon Excess properties Intermolecular interactions

Antibiotic resistome of Salmonella typhi:molecular determinants for the emergence of drug resistance

在线全文

学校读者我要写书评

暂无评论

Frontiers of Medicine 2021年第5期15卷 693-703页

作者： Awanish kumar anil kumar Department of Biotechnology National Institute of TechnologyRaipur-492010(Chhattisgarh)India

Resistome is a cluster of microbial genes encoding proteins with necessary functions to resist the action of *** governs essential and separate biological functions to develop resistance against *** widespread clinical and nonclinical uses of antibiotics over the years have combined to select antibiotic-resistant determinants and develop resistome in *** present,the emergence of drug resistance because of resistome is a significant problem faced by clinicians for the treatment of Salmonella *** resistome is a dynamic and ever-expanding component in *** foundation of resistome in Salmonella is laid long before;therefore,the antibiotic resistome of Salmonella is reviewed,discussed,and *** have searched the literature using PubMed,MEDLINE,and Google Scholar with related key terms(resistome,Salmonella,antibiotics,drug resistance)and prepared this *** this review,we summarize the status of resistance against antibiotics in ***,highlight the seminal work in the resistome of *** and the genes involved in the antibiotic resistance,and discuss the various methods to identify *** resistome for the proactive identification of this infection and quick diagnosis of the disease.

关键词： S.typhi antibiotic resistance mechanism resistome identification methods