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An Enhanced Hybrid Model Based on CNN and BiLSTM for Identifying Individuals via Handwriting Analysis

Computer Modeling in Engineering & Sciences 2024年第8期140卷 1689-1710页

作者： md.Abdur Rahim Fahmid Al Farid Abu Saleh Musa Miah Arpa Kar Puza md.Nur Alam md.Najmul Hossain Sarina Mansor Hezerul Abdul Karim Department of Computer Science and Engineering Pabna University of Science and TechnologyPabna6600Bangladesh Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia Department of Computer Science and Engineering Bangladesh Army University of Science and TechnologySaidpur5311Bangladesh Department of Mathematics Pabna University of Science and TechnologyPabna6600Bangladesh Department of Electrical Electronic and Communication EngineeringPabnaUniversity of Science and TechnologyPabna6600Bangladesh Department of Electrical and Communication Engineering Pabna University of Science and TechnologyPabna6600Bangladesh

Handwriting is a unique and significant human feature that distinguishes them from one *** are many researchers have endeavored to develop writing recognition systems utilizing specific signatures or symbols for person identification through ***,such systems are susceptible to forgery,posing security *** response to these challenges,we propose an innovative hybrid technique for individual identification based on independent handwriting,eliminating the reliance on specific signatures or *** response to these challenges,we propose an innovative hybrid technique for individual identification based on independent handwriting,eliminating the reliance on specific signatures or *** innovative method is intricately designed,encompassing five distinct phases:data collection,preprocessing,feature extraction,significant feature selection,and *** key advancement lies in the creation of a novel dataset specifically tailored for Bengali handwriting(BHW),setting the foundation for our comprehensive ***-preprocessing,we embarked on an exhaustive feature extraction process,encompassing integration with kinematic,statistical,spatial,and composite *** meticulous amalgamation resulted in a robust set of 91 *** enhance the efficiency of our system,we employed an analysis of variance(ANOVA)F test and mutual information scores approach,meticulously selecting the most pertinent *** the identification phase,we harnessed the power of cutting-edge deep learning models,notably the Convolutional Neural Network(CNN)and Bidirectional Long Short-Term Memory(BiLSTM).These models underwent rigorous training and testing to accurately discern individuals based on their handwriting ***,our methodology introduces a groundbreaking hybrid model that synergizes CNN and BiLSTM,capitalizing on fine motor features for enhanced individual ***,our experimental results unde

关键词： Bengali handwriting(BHW) person identification convolutional neural network(CNN) BiLSTM

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Genome-wide identification,characterization and functional prediction of the SRS gene family in sesame(Sesamum indicum L.)

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Oil Crop Science 2024年第2期9卷 69-80页

作者： Farjana Afroz Susmi Tasmina Islam Simi md Nahid Hasan md Abdur Rahim Department of Genetics and Plant Breeding Sher-e-Bangla Agricultural UniversityDhaka1207Bangladesh

Sesame(Sesamum indicum L.)is an ancient oilseed crop of the Pedaliaceae family with high oil content and potential health *** RELATED SEQUENCE(SRS)proteins are the transcription factors(TFs)specific to plants that contain RING-like zinc finger domain and are associated with the regulation of several physiological and biochemical *** also play vital roles in plant growth and development such as root formation,leaf development,floral development,hormone biosynthesis,signal transduction,and biotic and abiotic stress ***,the SRS gene family was not reported in sesame *** this study,identification,molecular characterization,phylogenetic relationship,cis-acting regulatory elements,protein-protein interaction,syntenic relationship,duplication events and expression pattern of SRS genes were analyzed in *** identified total six SiSRS genes on seven different linkage groups in the *** genome by comparing with the other species,including the model plant Arabidopsis *** SiSRS genes showed variation in their structure like2–5 exons and 1–4 *** other species,SiSRS proteins also contained‘RING-like zinc finger'and‘LRP1'***,the SiSRS genes were clustered into subclasses via phylogenetic analysis with proteins of ***,***,and some other plant *** cis-acting regulatory elements analysis revealed that the promoter region of SiSRS4(SIN_1011561)showed the highest 13 and 16 elements for light-and phytohormone-responses whereas,SiSRS1(SIN_1015187)showed the highest 15 elements for *** ABREs,or ABA-responsive elements,were found in a maximum of 8 copies in the SiSRS3(SIN 1009100).Moreover,the available RNA-seq based expression of SiSRS genes revealed variation in expression patterns between stress-treated and non-treated samples,especially in drought and salinity conditions *** SiSRS genes like SiSRS1(SIN_1015187)and SiSRS5(SIN_1021065),also exhibited variabl

关键词： SiSRS gene family SHI Transcription factor Characterization Sesamum indicum

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Assessing the pomfret stock for setting catch limits in the northern Bay of Bengal,Bangladesh

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Aquaculture and Fisheries 2024年第2期9卷 324-335页

作者： Mohammed Shahidul Alam Qun Liu md Mostafa Monwar md Enamul Hoque Suman Barua md Leion Hassan Abdullah Munzer College of Fisheries Ocean University of ChinaQingdao266003China Department of Fisheries University of ChittagongChattogram4331Bangladesh Institute of Marine Sciences University of ChittagongChattogram4331Bangladesh Department of Oceanography University of ChittagongChattogram4331Bangladesh Department of Fisheries Ministry of Fisheries and LivestockDhaka1215Bangladesh

Pampus argenteus and Pampus chinensis form the high-value demersal Pomfret fishery of ***,due to a monotonic decline in catches over the last five years,it is essential to explore the current stock status concerning the removal rate to ensure the sustainability of this ***,given the reliability and minimal data requirements,this study employed an extended Bayesian State-Space Surplus Production Model,JABBA(Just Another Bayesian Biomass Assessment),to assess the stock *** results revealed that the stock biomass of the Pomfret fishery in the final year of the time series is significantly lower than BMSY,the biomass required to produce ***,this study recommends a yearly catch limit(TAC)of 10,000 metric tons to prevent further depletion of the stock ***,to avoid growth overfishing by allowing all immature fishes to reproduce at least once before being caught,this study also calculated the optimum length(Lopt)for catch for both species at which biologically maximum yield and revenue can be *** estimated Lopt is 25 cm for *** and 30 cm for ***,and not to capture fishes with lengths lower than these limits,this study further calculated the minimum mesh size limits for gill and set bag nets is 7.5 *** the mesh size regulation was estimated using length-based reference points derived from an empirical equation,this regulation can be used as an associate reference point when TAC is applied to assure the sustainability of this fishery.

关键词： Pomfret fishery Stock assessment JABBA TAC Lower length limits for catches Mesh size regulation

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Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling

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Journal of Social Computing 2024年第1期5卷 1-14页

作者： Sirajam Munira Niloy Paul md Ashraful Alam md.Mahmudur Rahman M.Shamim Kaiser Institute of Information Technology Jahangirnagar UniversityDhaka 1342Bangladesh

Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling *** response to this critical challenge,this paper presents a novel approach utilizing a Detection-Based Reward System(DBRS)alongside an innovative business model to promote effective plastic waste management,reduce plastic waste accumulation in the nature,and uphold environmental *** the YOLOv5 algorithm for its exceptional accuracy,speed,and open-source availability,plastic bottle detection becomes a pivotal aspect of this *** seamlessly enroll in the system,triggering an automated detection process that computes reward points corresponding to their deposited plastic *** reward points are meticulously stored within a centralized *** its operational facets,this comprehensive system encompasses a robust business model,strategically poised to capture widespread engagement with waste disposal practices,thereby contributing to the realization of Sustainable Development Goals(SDGs)geared towards fostering a healthier ***,the DBRS attains cutting-edge performance in plastic bottle detection,boasting an impressive mean Average Precision(mAP)of 0.973,underscoring its efficacy in tackling plastic pollution.

关键词： smart environment reward system YOLOv5 deep learning business model

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Probiotics ameliorate chromium-induced growth retardation and stress in Indian major carp rohu, Labeo rohita

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Emerging Contaminants 2024年第2期10卷 57-64页

作者： Zannatul Ferdous SMRafiquzzaman md Shahjahan Laboratory of Fish Ecophysiology Department of Fisheries ManagementBangladesh Agricultural UniversityMymensingh2202Bangladesh Department of Fisheries Biology&Aquatic Environment Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur1706Bangladesh

Chromium(Cr)is one of the most prominent contaminants due to its cumulative negative effects on *** may be able to mitigate the unfavorable effects of Cr in *** this study,the rohu Labeo rohita(3.02±0.37 g)were exposed to Cr with or without probiotics,representing control(C;without Cr or probiotics),treatment one(T1;Cr at a dose of 4 mg/L),treatment two(T2;probiotics at a dose of 1 ml/L)and treatment three(T3;Cr at a dose of 4 mg/L+probiotics at a dose of 1 ml/L)for 42 *** results showed that weight gain(WG)and specific growth rate(SGR)were inhibited significantly in T1,while those substantially increased in T2(probiotics)compared to *** the other hand,WG and SGR were regained as compared to C in *** significantly lowest feed conversion ratio(FCR)was found in T2,and moderate FCR was recorded in C and T3,while it was significantly highest in *** mortality was observed in C and T2,while 20%mortality was recorded in T1,and decreased mortality was recorded in T3(10%).Exposure to Cr(T1)caused lower hemoglobin and higher glucose levels;however,the use of probiotics reversed these effects in T3(Cr+probiotics).The frequencies of nuclear(notched nuclei,nuclear bridges,and karyopyknosis)and cellular(tear drop shaped,fusion,and twin)abnormalities of erythrocytes increased in the Cr-exposed group(T1);however,these were recovered after probiotic administration(T3).The findings of the present study suggest that probiotics play a beneficial role in reducing the toxicities of Cr in rohu.

关键词： Contaminants Pollution Stress Erythrocytes Hemoglobin Probiotics

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Graphene oxide-coated microbottle resonators for relative humidity sensing

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Optoelectronics Letters 2024年第7期20卷 400-405页

作者： Huda Adnan Zain Malathy Batumalay md Ashadi md Johari Hazli Rafis Abdul Rahim Sulaiman Wadi Harun Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur 50603Malaysia Faculty of Data Science and Information Technology INTI International UniversityNilai 71800Malaysia1 Faculty of Electrical and Electronic Engineering Technology Universiti Teknikal Malaysia MelakaMelaka 76100Malaysia Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia MelakaMelaka 76100Malaysia

Graphene oxide(GO)is a 2D coating material used to improve fiber optics sensors’response to relative *** resonators(MBRs)have garnered more attention as sensing media *** MBR with a 190μm diameter was coated with ***,tapered fiber light coupling was used to investigate the relative humidity sensing performance in the range of 35—70%RH at 25℃.The MBR showed a higher Q factor before and after GO *** sensitivity of 0.115 dB/%RH was recorded with the 190μm GO-coated MBR sample compared to a sensitivity of 0.022 dB/%RH for the uncoated MBR *** results show that the MBR can be used in fiber optic sensing applications for environmental sensing.

关键词： humidity oxide bottle

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Remote condition monitoring of rail tracks using distributed acoustic sensing(DAS):A deep CNN-LSTM-SW based model

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Green Energy and Intelligent Transportation 2024年第5期3卷 70-85页

作者： md Arifur Rahman Suhaima Jamal Hossein Taheri The Laboratory for Advanced Non-Destructive Testing In-situ Monitoringand Evaluation(LANDTIE)Department of Manufacturing EngineeringGeorgia Southern UniversityStatesboro 30458GAUSA Information Technology Department Georgia Southern UniversityStatesboro 30458GAUSA

Railroad condition monitoring is paramount due to frequent passage through densely populated *** significance arises from the potential consequences of accidents such as train derailments,hazardous materials leaks,or collisions which may have far-reaching impacts on communities and the surrounding *** a solution to this issue,the use of distributed acoustic sensing(DAS)-fiber optic cables along railroads provides a feasible tool for monitoring the health of these extended ***,analyzing DAS data to assess railroad health or detect potential damage is a challenging *** to the large amount of data generated by DAS,as well as the unstructured patterns and substantial noise present,traditional analysis methods are ineffective in interpreting this *** paper introduces a novel approach that harnesses the power of deep learning through a combination of CNNs and LSTMs,augmented by sliding window techniques(CNN-LSTM-SW),to advance the state-of-the-art in the railroad condition monitoring *** well as it presents the potential for DAS and fiber optic sensing technologies to revolutionize the proposed CNN-LSTM-SW model to detect conditions along the rail track *** insights from the data of High tonnage load(HTL)-a 4.16 km fiber optic and DAS setup,we were able to distinguish train position,normal condition,and abnormal conditions along the ***,our investigation demonstrated that the proposed approaches could serve as efficient techniques for processing DAS signals and detecting the condition of railroad infrastructures at any remote distance with DAS-Fiber optic cable ***,in terms of pinpointing the train's position,the CNN-LSTM architecture showcased an impressive 97%detection *** a sliding window,the CNN-LSTM labeled data,the remaining 3%of misclassified labels have been improved dramatically by predicting the exact locations of each type of ***,these prop

关键词： Distributed acoustic sensing(DAS)-Fiber optic cable Railroad condition monitoring and anomaly detection High tonnage load(HTL) Convolutional neural network-long short-term memory-sliding window(CNN-LSTM-SW)

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Fractional order prey-predator model incorporating immigration on prey:Complexity analysis and its control

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International Journal of Biomathematics 2024年第5期17卷 285-317页

作者： md.Jasim Uddin Chandra Nath Podder Departmentof Mathematics University of Dhaka Dhaka-1000Bangladesh

In this paper,the Caputo fractional derivative is assumed to be the prey-predator *** order to create Caputo fractional differential equations for the prey-predator model,a discretization process is first *** fixed points of the model are categorized *** identify requirements for the fixed points of the suggested prey-predator model's local asymptotic *** demonstrate analytically that,under specific parametric conditions,a fractional order prey-predator model supports both a Neimark-Sacker(NS)bifurcation and a Flip *** present evidence for NS and Flip bifurcations using central manifold and bifurcation *** parameter values and the initial conditions have been found to have a profound impact on the dynamical behavior of the fractional order prey-predator *** the bifurcation parameter is increased,the system displays chaotic *** simulations are shown to demonstrate chaotic behaviors like bifurcations,phase portraits,invariant closed cycles,and attractive chaotic sets in addition to validating analytical *** suggested prey-predator dynamical system's chaotic behavior will be controlled by the OGY and hybrid control methodology,which will also visualize the chaotic state for various biological parameters.

关键词： Prey-predator model Caputo fractional derivative Flip and Neimark-Sacker(NS)bifurcations immigration chaos control numerical simulation

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GliomaCNN: An Effective Lightweight CNN Model in Assessment of Classifying Brain Tumor from Magnetic Resonance Images Using Explainable AI

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2425-2448页

作者： md.Atiqur Rahman Mustavi Ibne Masum Khan md Hasib M.F.Mridha Sultan Alfarhood Mejdl Safran Dunren Che Department of Computer Science and Engineering Ahsanullah University of Science and TechnologyDhaka1208Bangladesh Department of Computer Science and Software Engineering The University of Western AustraliaPerthWA 6009Australia Department of Computer Science American International University-BangladeshDhaka1229Bangladesh Department of Computer Science College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia School of Computing Southern Illinois UniversityCarbondale62901USA

Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global *** study addresses the pressing issue of brain tumor classification using Magnetic resonance imaging(MRI).It focuses on distinguishing between Low-Grade Gliomas(LGG)and High-Grade Gliomas(HGG).LGGs are benign and typically manageable with surgical resection,while HGGs are malignant and more *** research introduces an innovative custom convolutional neural network(CNN)model,*** stands out as a lightweight CNN model compared to its *** research utilized the BraTS 2020 dataset for its *** with the gradient-boosting algorithm,GliomaCNN has achieved an impressive accuracy of 99.1569%.The model’s interpretability is ensured through SHapley Additive exPlanations(SHAP)and Gradient-weighted Class Activation Mapping(Grad-CAM++).They provide insights into critical decision-making regions for classification *** challenges in identifying tumors in images without visible signs,the model demonstrates remarkable performance in this critical medical application,offering a promising tool for accurate brain tumor diagnosis which paves the way for enhanced early detection and treatment of brain tumors.

关键词： Deep learning magnetic resonance imaging convolutional neural networks explainable AI boosting algorithm ablation

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Review of coastal land transformation:Factors,impacts,adaptation strategies,and future scopes

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Geography and Sustainability 2024年第2期5卷 167-178页

作者： md.Abubakkor Siddik Abu Reza md.Towfiqul Islam Dr.Wazed Research and Training Institute Begum Rokeya UniversityRangpur 5404Bangladesh Department of Emergency Management Patuakhali Science and Technology UniversityPatuakhali-8602Bangladesh Department of Disaster Management Begum Rokeya UniversityRangpur 5404Bangladesh Department of Development Studies Daffodil International UniversityDhaka 1216Bangladesh

Coastal land transformation has been identified as a topic of research in many countries around the *** studies have been conducted to determine the causes and impacts of land ***,much less is understood about coupling change detection,factors,impacts,and adaptation strategies for coastal land transformation at a global *** review aims to present a systematic review of global coastal land transformation and its leading research *** 1,741 documents of Scopus and Web of Science,60 studies have been selected using the PRISMA-2020 *** revealed that existing literature included four leading focus areas regarding coastal land transformation:change detection,driving factors,impacts,and adaptation *** focus areas were further analyzed,and it was found that more than 80%of studies used Landsat imagery to detect land *** growth and urbanization were among the major driving factors *** review further identified that about 37%of studies included impact *** studies identified impacts on ecosystems,land surface temperature,migration,water quality,and occupational effects as significant ***,only four studies included adaptation *** review explored the scope of comprehensive research in coastal land transformation,addressing change detection,factor and impact analysis,and mitigation-adaptation *** research also proposes a conceptual framework for comprehensive coastal land transformation *** framework can provide potential decision-making guidance for future studies in coastal land transformation.

关键词： Coastal land transformation Land use and land cover Landsat Population PRISMA

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