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DeBERTa-GRU: Sentiment Analysis for Large Language Model

Computers, Materials & Continua 2024年第6期79卷 4219-4236页

作者： Adel Assiri Abdu Gumaei faisal mehmood Touqeer Abbas Sami Ullah Department of Informatics for Business College of BusinessKing Khalid UniversityAbha61421Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou450001China Department of Computer Science and Technology Beijing University of Chemical TechnologyBeijing100029China Department of Computer Science Government College University FaisalabadFaisalabadPunjab38000Pakistan

Modern technological advancements have made social media an essential component of daily *** media allow individuals to share thoughts,emotions,and *** analysis plays the function of evaluating whether the sentiment of the text is positive,negative,neutral,or any other personal emotion to understand the sentiment context of the *** analysis is essential in business and society because it impacts strategic *** analysis involves challenges due to lexical variation,an unlabeled dataset,and text distance *** execution time increases due to the sequential processing of the sequence ***,the calculation times for the Transformer models are reduced because of the parallel *** study uses a hybrid deep learning strategy to combine the strengths of the Transformer and Sequence models while ignoring their *** particular,the proposed model integrates the Decoding-enhanced with Bidirectional Encoder Representations from Transformers(BERT)attention(DeBERTa)and the Gated Recurrent Unit(GRU)for sentiment *** the Decoding-enhanced BERT technique,the words are mapped into a compact,semantic word embedding space,and the Gated Recurrent Unit model can capture the distance contextual semantics *** proposed hybrid model achieves F1-scores of 97%on the Twitter Large Language Model(LLM)dataset,which is much higher than the performance of new techniques.

关键词： DeBERTa GRU Naive Bayes LSTM sentiment analysis large language model

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Seed Priming with Potassium Nitrate Can Enhance Salt Stress Tolerance in Maize

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PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY 2024年第8期93卷 1819-1838页

作者： Rehman, Bushra Zulfiqar, Asma Attia, Houneida Sardar, Rehana Saleh, Muneera A. Alamer, Khalid H. Alsudays, Ibtisam M. mehmood, faisal Zaman, Qamar uz Univ Punjab Inst Bot Lahore 54590 Pakistan Taif Univ Coll Sci Dept Biol Taif 21944 Saudi Arabia Univ Lahore Dept Environm Sci Lahore 54590 Pakistan Emerson Univ Dept Bot Multan 60000 Pakistan King Abdulaziz Univ Fac Sci & Arts Biol Sci Dept Rabigh 21911 Saudi Arabia Qassim Univ Coll Sci Dept Biol Burydah 52571 Saudi Arabia Univ Lahore Dept Chem Sci Lahore 54590 Pakistan

Salinity is a major abiotic stress that hinders plant development and productivity and influences agricultural yield. Seed priming is a technique used to boost germination and seedling growth under abiotic stress. A pot experiment was conducted to evaluate the impact of seed priming with potassium nitrate (KNO3) at various levels (0%, 0.50%, 1.00% and 1.50%) under salt stress (0, 75, 100 mM NaCl) on two maize verities (MNH360 and 30T60) for the growth, development and metabolic attributes results revealed that in maize variety MNH360, KNO3 priming's significantly enhanced growth parameters than in maize variety 30T60 under control and salt-stressed conditions. Priming with KNO3 enhanced carotenoids and total chlorophyll in the 30T60 variety that protected the maize plants from salt stress. Nevertheless, it was shown that priming with 1.00% KNO3 acts as safeguarded to protect them from oxidative damage by salt stress minimizing reactive oxygen species (ROS) formation through increased levels of malondialdehyde (MDA), catalase (CAT), peroxidase (POD), ascorbate peroxidase (APX), and total soluble protein. The findings of the present study confirm that the use of the KNO3 seed priming technique is a lowcost, environmentally friendly technique for mitigating adverse impacts of salt stress in maize crops by activating the antioxidant defense system and improving chlorophyll and osmolyte contents.

关键词： Salinity Zea mays antioxidant enzymes growth seedlings oxidative damage ANTIOXIDANT ENZYMES LIPID-PEROXIDATION HYDROGEN-PEROXIDE PLANT-RESPONSES GROWTH CULTIVARS NANOPARTICLES GERMINATION MARITIMA OXIDE

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Towards a Dynamic Virtual IoT Network Based on User Requirements

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Computers, Materials & Continua 2021年第11期69卷 2231-2244页

作者： faisal mehmood Shabir Ahmad Israr Ullah faisal Jamil DoHyeun Kim Department of Computer Engineering Jeju National UniversityJeju63243Korea Department of I.T.Convergence Engineering Gachon UniversitySeongnam-Si461-701Korea Department of Software Engineering University of Engineering&Technology MardanMardan23200Pakistan

The data being generated by the Internet of Things needs to be stored,monitored,and analyzed for maximum IoT resource *** Defined Networking has been extensively utilized to address issues such as heterogeneity and ***,for small-scale IoT application,sometimes it is considered an inefficient *** paper proposes an alternate lightweight mechanism to the design and implementation of a dynamic virtual network based on user *** key idea is to provide users a virtual interface that enables them to reconfigure the communication flow between the sensors and actuators at *** throughput of the communication flow depends on the data traffic load and optimal *** can reconfigure the communication flow,and virtual agents find the optimal route to handle the traffic *** virtual network provides a user-friendly interface to allow physical devices to be mapped with the corresponding virtual *** proposed network is applicable for all systems that lie in the Internet of Things *** conclude that the proposed network is efficient,reliable,and responsive to network reconfiguration at runtime.

关键词： Internet of things software-defined networks virtual network inter-process communication cloud of things

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Intelligent Transmission Control for Efficient Operations in SDN

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Computers, Materials & Continua 2022年第5期71卷 2807-2825页

作者： Reem Alkanhel Abid Ali faisal Jamil Muzammil Nawaz faisal mehmood Ammar Muthanna Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Computer Science University of Engineering and TechnologyTaxila47080Pakistan Department of Computer Science Govt.Akhtar Nawaz Khan(Shaheed)Degree College KTSHaripur22620Pakistan Department of Computer Engineering Jeju National UniversityJeju-siJeju Special Self-Governing Province63243Korea School of Information and Communication Engineering Zhengzhou UniversityChina Department of Telecommunication Networks and Data Transmission The Bonch-Bruevich Saint-Petersburg State University of Telecommunications193232Saint PetersburgRussia Peoples Friendship University of Russia(RUDN University)6 Miklukho-Maklaya St Moscow117198Russian Federation

Although the Software-Defined Network(SDN)is a well-controlled and efficient network but the complexity of open flow switches in SDN causes multiple *** solutions have been proposed so far for the prevention of errors and mistakes in it but yet,there is still no smooth transmission of pockets from source to destination specifically when irregular movements follow the destination host in SDN,the errors include packet loss,data compromise *** accuracy of packets received at their desired destination is possible if networks for pockets and hosts are monitored instead of analysis of network snapshot statistically for the state,as these approaches with open flow switches,discover bugs after their *** article proposes a design to achieve the said objective by defining the Intelligent Transmission Control Layer(ITCL)*** monitors all the connections of end hosts at their specific locations and performs necessary settlements when the connection state changes for one or multiple *** layer informs the controller regarding any state change at one period and controller collects information of end nodes reported via ***,updates flow tables accordingly to accommodate a location-change scenario with a routechange *** is organized on prototype-based implementation using the popular POX *** this paper,it has been discovered that ITCL produces efficient performance in the trafficking of packets and controlling different states of SDN for errors and packet loss.

关键词： Software-defined network ITCL POX open flow

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Growth and nitrogen productivity of drip-irrigated winter wheat under different nitrogen fertigation strategies in the North China Plain

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Journal of Integrative Agriculture 2023年第3期22卷 908-922页

作者： Sunusi Amin ABUBAKAR Abdoul Kader Mounkaila HAMANI WANG Guang-shuai LIU Hao faisal mehmood Abubakar Sadiq ABDULLAHI GAO Yang DUAN Ai-wang Key Laboratory of Crop Water Use and Regulation Ministry of Agriculture and Rural Affairs/Farmland Irrigation Research InstituteChinese Academy of Agricultural SciencesXinxiang 453002P.R.China Graduate School of Chinese Academy of Agricultural Sciences Beijing 100081P.R.China Department of Agricultural and Bioresource Engineering Abubakar Tafawa Balewa UniversityBauchi 740272Nigeria

Excessive application of nitrogen (N) fertilizer is the main cause of N loss and poor use efficiency in winter wheat (Triticum aestivum L.) production in the North China Plain (NCP).Drip fertigation is considered to be an effective method for improving N use efficiency and reducing losses,while the performance of drip fertigation in winter wheat is limited by poor N scheduling.A two-year field experiment was conducted to evaluate the growth,development and yield of drip-fertigated winter wheat under different split urea (46%N,240 kg ha^(-1)) *** six treatments consisted of five fertigation N application scheduling programs and one slow-release fertilizer (SRF) *** five N scheduling treatments were N0–100 (0%at sowing and 100%at jointing/booting),N25–75 (25%at sowing and 75%at jointing and booting),N50–50(50%at sowing and 50%at jointing/booting),N75–25 (75%at sowing and 25 at jointing/booting),and N100–0 (100%at sowing and 0%at jointing/booting).The SRF (43%N,240 kg ha^(-1)) was only used as fertilizer at *** N application significantly (P<0.05) affected wheat grain yield,yield components,aboveground biomass (ABM),water use efficiency(WUE) and nitrogen partial factor productivity (NPFP).The N50–50 and SRF treatments respectively had the highest yield(8.84 and 8.85 t ha^(-1)),ABM (20.67 and 20.83 t ha^(-1)),WUE (2.28 and 2.17 kg m^(-3)) and NPFP (36.82 and 36.88 kg kg^(-1)).This work provided substantial evidence that urea-N applied in equal splits between basal and topdressing doses compete economically with the highly expensive SRF for fertilization of winter wheat *** the single-dose SRF could reduce labor costs involved with the traditional method of manual spreading,the drip fertigation system used in this study with the N50–50 treatment provides an option for farmers to maintain wheat production in the NCP.

关键词： split nitrogen strategies wheat yield drip fertigation water use efficiency nitrogen use efficiency

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大亚湾核电厂氢气风险缓解措施分析

大亚湾核电厂氢气风险缓解措施分析

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作者： faisal mehmood（法塞尔）华北电力大学(北京)

学位级别：硕士

核电厂(NPPs)正日益成为一个可行的替代能源基地。核电厂的安全问题在很大程度上得到了缓解,这要归功于严格的设计和核工业以安全为重点的态度。国际核工业界正在付出巨大的努力来提高核电站的设计,仪表控制水平,以进一步提高核电站的... 详细信息

核电厂(NPPs)正日益成为一个可行的替代能源基地。核电厂的安全问题在很大程度上得到了缓解,这要归功于严格的设计和核工业以安全为重点的态度。国际核工业界正在付出巨大的努力来提高核电站的设计,仪表控制水平,以进一步提高核电站的效率和安全性。尽管有多种预防措施,但仍然有多种灾难性事故发生,并将其摧毁。本文就考虑这样的一个事故序列SBLOCA。丧失冷却剂事故(LOCA),可能会导致安全壳内氢气的聚积。如果聚集的氢气不能及时消除,安全壳内的气体混合物可能在合适的条件下发生燃爆,这样的燃爆就有可能涉及到安全壳的完整性问题。一个足够强大的燃爆足以摧毁安全壳,从而反应堆最后的安全屏障破坏,放射性碎片就会泄漏到环境中。本文以大亚湾核电站为背景,研究了1号SG(蒸汽发生器)隔间发生小破口丧失冷却剂事故。并用GASFLOW软件进行建模和仿真。并得到了两种情形下：(i)投入缓解措施,(ii)不投入缓解措施,安全壳内氢气的分布。并模拟得到了诸如温度,压力,气体混合物的体积分数,火焰加速风险等描述混合物行为的关键参数。两种情形下氢气行为的差异将有助于我们了解燃爆的可能性以及并在大亚湾安全壳内缓解措施的成效。分析发现;(1)在未启动缓解措施时,1号SG隔间内的火焰加速因子超过了向湍流燃烧转变的极限值1;启动了缓解措施时1号SG隔间内的火焰加速因子的最大值没有超过湍流燃烧转变的极限值1;(2)对于安全壳内压力情形,我们可以发现在730秒时刻启动缓解措施的情形,1号SG隔间和安全壳顶部空间的压力值会缓慢上升,但是远远没有超出安全壳所能承受的极限压力值, (3)启动了缓解措施后1号SG隔间和安全壳顶部空间氢气的体积百分数要远低于没有启动缓解措施的情形。为此我们可以得出结论,在LWPs安全壳内曾设点火器和氢气复合器能较好的缓解事故进程,保证安全壳的完整性,防止放射性物质进入大气空间。

关键词：核电站安全管理氢气风险控制

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基于三电平中压直流碳化硅换流器的研究

基于三电平中压直流碳化硅换流器的研究

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作者： Shah faisal mehmood 华北电力大学(北京)

学位级别：硕士

基于可再生能源的直流发电及直流负荷的发展,中压直流配电(MVDC)领域的研究空白亟待填补以提高能源效率。MVDC可以集成工业设施,数据中心和电动汽车充电站等负载以及光伏、风电等可再生电力发电。DC/DC变换器是互连未来直流电网的新兴... 详细信息

基于可再生能源的直流发电及直流负荷的发展,中压直流配电(MVDC)领域的研究空白亟待填补以提高能源效率。MVDC可以集成工业设施,数据中心和电动汽车充电站等负载以及光伏、风电等可再生电力发电。DC/DC变换器是互连未来直流电网的新兴技术的一部分,其可提供良好的可控性,稳定性和功率双向流行。本研究基于MVDC对配电系统的控制策略进行了研究,提出了一种高效的DC/DC转换器拓扑结构。该转换器能够在较宽的频率范围内有效工作,使用高频变压器在单位功率因数下运行。本文基于的三电平DC/DC变换器,提出了一种有效的控制策略,其为双闭环控制,包括电压外环和电流内环。除此之外,本文设计了一种高效DC/DC变化变换器,可实现不同电网间能量的高效传输。所提出的DC-DC转换器的特点如下:1)即使负载改变或输出电压突然变化,也能维持电压稳定2)输出电压可以调节,使其适用于中高压场景,并且控制器考虑了负载扰动的影响。基于MATLAB/Simulink仿真,对SVPWM变换器进行了分析,以主要用于背靠背这一场景。仿真结果表明了该控制方法的性能和有效性。在本研究的第二阶段,通过使用LT-spice软件对新的宽带隙半导体器件SiC和Si进行比较评估,简要讨论功率损耗效率改进和总体比较。

关键词：双向中压直流变换器碳化硅中性点箝位双闭环

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Design of Grid-Connected Photovoltaic System

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Journal of Power and Energy Engineering 2017年第8期5卷 1-12页

作者： Naseer Khan Muhammad Aamir faisal mehmood Muhammad Aslam Muhammad Arif Department of Electrical Engineering UET Peshawar Pakistan Department of Electrical Engineering University of Malaya Malaya Malaysia Department of Electrical Engineering COMSATS Abbottabad Pakistan

This paper presents a grid connected photovoltaic system (PV) with a proposed high voltage conversion ratio DC-DC converter which steps up the variable low input voltages of photovoltaic module to the required DC link voltage. This voltage is applied to an H-bridge inverter which converts DC voltage into AC voltage and a low pass filter is used to filter the output. By adjusting the duty ratio of switches in DC-DC converter, the magnitude of inverter’s output voltage is controlled. The frequency and phase synchronization are ensured by a feedback signal taken from the grid. In this way, inverter is synchronized and connected with the grid to meet the energy demand. The PV system has been designed and simulated.

关键词： Photovoltaic Systems (PV) High Voltage Gain DC-DC Converter PWM Inverter Synchronization

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ASLP-DL—A Novel Approach Employing Lightweight Deep Learning Framework for Optimizing Accident Severity Level Prediction

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Computers, Materials & Continua 2024年第2期78卷 2535-2555页

作者： Saba Awan Zahid mehmood Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan

Highway safety researchers focus on crash injury severity,utilizing deep learning—specifically,deep neural networks(DNN),deep convolutional neural networks(D-CNN),and deep recurrent neural networks(D-RNN)—as the preferred method for modeling accident *** learning’s strength lies in handling intricate relation-ships within extensive datasets,making it popular for accident severity level(ASL)prediction and *** prior success,there is a need for an efficient system recognizing ASL in diverse road *** address this,we present an innovative Accident Severity Level Prediction Deep Learning(ASLP-DL)framework,incorporating DNN,D-CNN,and D-RNN models fine-tuned through iterative hyperparameter selection with Stochastic Gradient *** framework optimizes hidden layers and integrates data augmentation,Gaussian noise,and dropout regularization for improved *** and factor contribution analyses identify influential *** on three diverse crash record databases—NCDB 2018–2019,UK 2015–2020,and US 2016–2021—the D-RNN model excels with an ACC score of 89.0281%,a Roc Area of 0.751,an F-estimate of 0.941,and a Kappa score of 0.0629 over the NCDB *** proposed framework consistently outperforms traditional methods,existing machine learning,and deep learning techniques.

关键词： Injury severity prediction deep learning feature

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Leveraging Augmented Reality,Semantic-Segmentation,and VANETs for Enhanced Driver’s Safety Assistance

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Computers, Materials & Continua 2024年第1期78卷 1443-1460页

作者： Sitara Afzal Imran Ullah Khan Irfan mehmood Jong Weon Lee Mixed Reality and Interaction Lab Department of SoftwareSejong UniversitySeoul05006Korea Faculty of Engineering and Digital Technologies School of Computer ScienceAI and ElectronicsUniversity of BradfordBradfordUK

Overtaking is a crucial maneuver in road transportation that requires a clear view of the road ***,limited visibility of ahead vehicles can often make it challenging for drivers to assess the safety of overtaking maneuvers,leading to accidents and *** this paper,we consider atrous convolution,a powerful tool for explicitly adjusting the field-of-view of a filter as well as controlling the resolution of feature responses generated by Deep Convolutional Neural Networks in the context of semantic image *** article explores the potential of seeing-through vehicles as a solution to enhance overtaking ***-through vehicles leverage advanced technologies such as cameras,sensors,and displays to provide drivers with a real-time view of the vehicle ahead,including the areas hidden from their direct line of *** address the problems of safe passing and occlusion by huge vehicles,we designed a see-through vehicle system in this study,we employed a windshield display in the back car together with cameras in both *** server within the back car was used to segment the car,and the segmented portion of the car displayed the video from the front *** see-through system improves the driver’s field of vision and helps him change lanes,cross a large car that is blocking their view,and safely overtake other *** network was trained and tested on the Cityscape dataset using semantic *** transparent technique will instruct the driver on the concealed traffic situation that the front vehicle has *** our findings,we have achieved 97.1% *** article also discusses the challenges and opportunities of implementing see-through vehicles in real-world scenarios,including technical,regulatory,and user acceptance factors.

关键词： Overtaking safety augmented reality VANET V2V deep learning

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