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Exploring Sequential Feature Selection in Deep Bi-LSTM Models for Speech Emotion Recognition

Computers, Materials & Continua 2024年第2期78卷 2689-2719页

作者： Fatma Harby mansor alohali Adel Thaljaoui Amira Samy Talaat Computer Science Department Future Academy-Higher Future Institute for Specialized Technological StudiesCairo12622Egypt Department of Computer Science and Information College of Science at Zulfi Majmaah UniversityP.O.Box 66Al-Majmaah11952Saudi Arabia Preparatory Institute for Engineering Studies of Gafsa ZarrougGafsa2112Tunisia Computers and Systems Department Electronics Research InstituteCairo12622Egypt

Machine Learning(ML)algorithms play a pivotal role in Speech Emotion Recognition(SER),although they encounter a formidable obstacle in accurately discerning a speaker’s emotional *** examination of the emotional states of speakers holds significant importance in a range of real-time applications,including but not limited to virtual reality,human-robot interaction,emergency centers,and human behavior *** identifying emotions in the SER process relies on extracting relevant information from audio *** studies on SER have predominantly utilized short-time characteristics such as Mel Frequency Cepstral Coefficients(MFCCs)due to their ability to capture the periodic nature of audio signals *** these traits may improve their ability to perceive and interpret emotional depictions appropriately,MFCCS has some *** this study aims to tackle the aforementioned issue by systematically picking multiple audio cues,enhancing the classifier model’s efficacy in accurately discerning human *** utilized dataset is taken from the EMO-DB database,preprocessing input speech is done using a 2D Convolution Neural Network(CNN)involves applying convolutional operations to spectrograms as they afford a visual representation of the way the audio signal frequency content changes over *** next step is the spectrogram data normalization which is crucial for Neural Network(NN)training as it aids in faster *** the five auditory features MFCCs,Chroma,Mel-Spectrogram,Contrast,and Tonnetz are extracted from the spectrogram *** attitude of feature selection is to retain only dominant features by excluding the irrelevant *** this paper,the Sequential Forward Selection(SFS)and Sequential Backward Selection(SBS)techniques were employed for multiple audio cues features ***,the feature sets composed from the hybrid feature extraction methods are fed into the deep Bidirectional Long Short

关键词： Artificial intelligence application multi features sequential selection speech emotion recognition deep Bi-LSTM

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Identification of thermal front dynamics in the northern Malacca Strait using ROMS 3D-model

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Journal of Oceanology and Limnology 2024年第1期42卷 41-57页

作者： Ku Nor Afiza Asnida Ku mansor Nur Hidayah ROSELI Poh Heng KOK Fariz Syafiq Mohamad ALI Mohd Fadzil Mohd AKHIR Institute of Oceanography and Environment Universiti Malaysia TerengganuKuala Nerus 21030Malaysia Faculty of Science and Marine Environment Universiti Malaysia TerengganuKuala Nerus 21030Malaysia

The thermal front in the oceanic system is believed to have a significant effect on biological *** an era of climate change,changes in heat regulation between the atmosphere and oceanic interior can alter the characteristics of this important *** the simulation results of the 3D Regional Ocean Modelling System(ROMS),we identified the location of thermal fronts and determined their dynamic variability in the area between the southern Andaman Sea and northern Malacca *** Single Image Edge Detection(SIED)algorithm was used to detect the thermal front from model-derived *** show that a thermal front occurred every year from 2002 to 2012 with the temperature gradient at the location of the front was 0.3°C/*** to the years affected by El Ni?o and negative Indian Ocean Dipole(IOD),the normal years(e.g.,May 2003)show the presence of the thermal front at every selected depth(10,25,50,and 75 m),whereas El Ni?o and negative IOD during 2010 show the presence of the thermal front only at depth of 75 m due to greater warming,leading to the thermocline deepening and enhanced *** May 2003,the thermal front was separated by cooler SST in the southern Andaman Sea and warmer SST in the northern Malacca *** higher SST in the northern Malacca Strait was believed due to the besieged Malacca Strait,which trapped the heat and make it difficult to release while higher chlorophyll a in Malacca Strait is due to the freshwater conduit from nearby rivers(Klang,Langat,Perak,and Selangor).Furthermore,compared to the southern Andaman Sea,the chlorophyll a in the northern Malacca Strait is easier to reach the surface area due to the shallower thermocline,which allows nutrients in the area to reach the surface faster.

关键词： regional ocean modelling system thermal front Andaman Sea Malacca Strait single image edge detection algorithm

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

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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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Development of a Lightweight Model for Handwritten Dataset Recognition: Bangladeshi City Names in Bangla Script

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Computers, Materials & Continua 2024年第8期80卷 2633-2656页

作者： MdMahbubur Rahman Tusher Fahmid Al Farid MdAl-Hasan Abu Saleh Musa Miah Susmita Roy Rinky Mehedi Hasan Jim Sarina mansor MdAbdur Rahim Hezerul Abdul Karim Department of Computer Science and Engineering Bangladesh Army University of Science and Technology(BAUST)Saidpur5310Bangladesh Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia Pabna University of Science and Technology Pabna6600Bangladesh

The context of recognizing handwritten city names,this research addresses the challenges posed by the manual inscription of Bangladeshi city names in the Bangla *** today’s technology-driven era,where precise tools for reading handwritten text are essential,this study focuses on leveraging deep learning to understand the intricacies of Bangla *** existing dearth of dedicated datasets has impeded the progress of Bangla handwritten city name recognition systems,particularly in critical areas such as postal automation and document ***,no prior research has specifically targeted the unique needs of Bangla handwritten city name *** bridge this gap,the study collects real-world images from diverse sources to construct a comprehensive dataset for Bangla Hand Written City name *** emphasis on practical data for system training enhances *** research further conducts a comparative analysis,pitting state-of-the-art(SOTA)deep learning models,including EfficientNetB0,VGG16,ResNet50,DenseNet201,InceptionV3,and Xception,against a custom Convolutional Neural Networks(CNN)model named“Our CNN.”The results showcase the superior performance of“Our CNN,”with a test accuracy of 99.97% and an outstanding F1 score of 99.95%.These metrics underscore its potential for automating city name recognition,particularly in postal *** study concludes by highlighting the significance of meticulous dataset curation and the promising outlook for custom CNN *** encourages future research avenues,including dataset expansion,algorithm refinement,exploration of recurrent neural networks and attention mechanisms,real-world deployment of models,and extension to other regional languages and *** recommendations offer exciting possibilities for advancing the field of handwritten recognition technology and hold practical implications for enhancing global postal services.

关键词： Handwritten recognition Bangladeshi city names Bangla handwritten city name automated postal services

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Ether-IoT:A Realtime Lightweight and Scalable Blockchain-Enabled Cache Algorithm for IoT Access Control

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Computers, Materials & Continua 2023年第5期75卷 3797-3815页

作者： Hafiz Adnan Hussain Zulkefli mansor Zarina Shukur Uzma Jafar Universiti Kebangsaan Malaysia Bangi43000Malaysia

Several unique characteristics of Internet of Things(IoT)devices,such as distributed deployment and limited storage,make it challenging for standard centralized access control systems to enable access control in today’s large-scale IoT *** solve these challenges,this study presents an IoT access control system called Ether-IoT based on the Ethereum Blockchain(BC)infrastructure with Attribute-Based Access Control(ABAC).Access Contract(AC),Cache Contract(CC),Device Contract(DC),and Policy Contract(PC)are the four central smart contracts(SCs)that are included in the proposed *** offers a way to save user characteristics in a local cache system to avoid delays during transactions between BC and IoT *** is the fundamental program users typically need to run to build an access control *** offers a means for storing the resource data created by devices and a method for querying that *** offers administrative settings to handle ABAC policies on users’***-IoT,combined with ABAC and the BC,enables IoT access control management that is decentralized,fine-grained and dynamically *** research gives a real-world case study to illustrate the suggested framework’s *** the end,a simulation experiment is performed to evaluate the system’s *** ensure data integrity in dispersed systems,the results show that Ether-IoT can sustain high throughput in contexts with a large number of requests.

关键词： Blockchain Internet of Things IoT access control ABAC Ethereum distributed system

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High-throughput sequencing reveals dietary segregation in Malaysian babblers

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Current Zoology 2022年第4期68卷 381-389页

作者： Mohammad Saiful mansor Fasihah Zarifah Rozali Sian Davies Shukor Md Nor Rosli Ramli Department of Biological Sciences and Biotechnology Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia School of Biological Sciences Universiti Sains Malaysia11800 USM PenangMalaysia Micropathology Ltd University of Warwick Science ParkCoventryCV47EZUK Institute of Biological Sciences Faculty of ScienceUniversity of Malaya50603 Kuala LumpurMalaysia

The coexistence of numerous species within a community results from how those species use available *** are one of the major groups of Malaysian insectivorous birds,which frequently forage in dense vegetation cover and have a high level of ***,examining the diet,prey selection,and niche segregation of babblers can be *** this study,we used high-throughput sequencing to investigate potential dietary overlap or segregation among 10 babbler species of the 4 genera of the family Pellorneidae and Timaliidae:Pellorneum,Malacopteron,Stachyris,and Cyanoderma in central peninsular *** tested the hypothesis that trophically similar species may differ in resource use to avoid competitive *** identified 81 distinct arthropod taxa from fecal samples,belonging to 71 families representing 13 orders,which were predominantly from 16 dipteran,13 lepidopteran,and 10 coleopteran *** all the prey taxa consumed,45%were found to be distinct across the 10 babbler species,and<35%were shared simultaneously by≥3 babbler species,indicating minimal dietary *** black-throated babbler Stachyris nigricollis and moustached babbler Malacopteron magnirostre had the most generalist tendencies because they consumed a greater variety of prey *** dietary overlap values(Ojk)and a relatively wide range of food resources suggest that dietary segregation occurred among the studied *** great diversity of prey consumed revealed the presence of dietary flexibility among the sympatric insectivorous birds,thus reducing any active dietary competition and facilitating the coexistence through niche partitioning.

关键词： coexistence dietary partitioning metabarcoding next-generation sequencing tropical insectivorous birds

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Smart Anti-Pinch Window Simulation Using H_/H_(∞)Criterion and MOPSO

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Computers, Materials & Continua 2022年第7期72卷 215-226页

作者： Maedeh Mohammadi Azni Mohammad Ali Sadrnia Shahab S.Band Zulkefli Bin mansor Department of Electrical and Robotics Engineering Shahrood University of TechnologySemnanIran Future Technology Research Center College of FutureNational Yunlin University of Science and Technology 123 University RoadSection 3DouliouYunlin64002Taiwan Faculty of Information Science and Technology Universiti Kebangsan Malaysia43600UKM BangiSelangorMalaysia

Automobile power windows are mechanisms that can be opened and shut with the press of a *** these windows can comfort the effort of occupancy to move the window,failure to recognize the person’s body part at the right time will result in damage and in some cases,loss of that *** anti-pinch mechanism is an excellent choice to solve this problem,which detects the obstacle in the glass path immediately and moves it *** this paper,an optimal solution H_/H_(∞)is presented for fault detection of the anti-pinch window *** anti-pinch makes it possible to detect an obstacle and prevent damages through sampling parameters such as current consumption,the speed and the position of DC *** this research,a speed-based method is used to detect the *** order to secure the anti-pinch window,an optimal algorithm based on a fault detection observer is *** the residual design,the proposed fault detection algorithm uses theDCmotor angular velocity *** against disturbances and sensitivity to the faults are considered as an optimization problem based on Multi-Objective Particle Swarm Optimization ***,an optimal filter for solving the fault problem is designed using the H_/H_(∞)*** results show that the simulated anti-pinch window is pretty sensitive to the fault,in the sense that it can detect the obstacle in 50 ms after the fault occurrence.

关键词： H_/H_(∞) anti-pinch residual fault detection multi-objective particle swarm optimization(MOPSO) multi-objective optimization automotive power windows electric windows

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Characterization of Potential Cellulose from Hylocereus Polyrhizus(Dragon Fruit)peel:A Study on Physicochemical and Thermal Properties

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Journal of Renewable Materials 2023年第1期11卷 131-145页

作者： Nurul Hanan Taharuddin Ridhwan Jumaidin Muhd Ridzuan mansor Fahmi Asyadi Md Yusof Roziela Hanim Alamjuri Fakulti Kejuruteraan Mekanikal Universiti Teknikal Malaysia MelakaHang Tuah JayaMelakaMalaysia Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan Universiti Teknikal Malaysia MelakaHang Tuah JayaMelakaMalaysia UNIKL MICET Taboh NaningAlor GajahMelakaMalaysia Faculty of Tropical Forestry Universiti Malaysia SabahJalan UMSSabahMalaysia

The strict environmental regulations to overcome the drawbacks of consumption and disposal of non-renewable synthetic materials have motivated this *** physical,chemical,morphological,and thermal properties of Hylocereus Polyrhizus peel(HPP)powder obtained from the raw materials were examined in this *** physical properties analyzes of Hylocereus Polyrhizus peel(HPP)powder discovered that the moisture content,density,and water holding capacity were 9.70%,0.45 g/cm^(3),and 98.60%,***,the chemical composition analysis of Hylocereus Polyrhizus peel(HPP)powder revealed that the powder was significantly high in cellulose contents(34.35%)from other bio-peel *** crystallinity index of Hylocereus Polyrhizus peel(HPP)powder was 32.76%,according to further X-ray diffraction(XRD)*** thermal stability of Hylocereus Polyrhizus peel(HPP)powder was examined using thermogravimetric analysis(TGA)and found thermally stable at 204℃.The morphological study via scanning electron microscopy(SEM)showed a shriveled and irregular geometry *** Polyrhizus peel(HPP)powder demonstrated the peak in the range representing the major functional groups responsible for pectin’s ***,the findings revealed that the Hylocereus Polyrhizus peel(HPP)powder has the potential for the development of biodegradable and renewable materials.

关键词： Hylocereus Polyrhizus dragon fruit peel natural fiber biodegradable materials

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Modified 2 Satisfiability Reverse Analysis Method via Logical Permutation Operator

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Computers, Materials & Continua 2023年第2期74卷 2853-2870页

作者： Siti Zulaikha Mohd Jamaludin MohdAsyraf mansor Aslina Baharum Mohd Shareduwan Mohd Kasihmuddin Habibah A.Wahab Muhammad Fadhil Marsani School of Mathematical Sciences Universiti Sains MalaysiaMindenPenang11800Malaysia School of Distance Education Universiti Sains MalaysiaMindenPenang11800Malaysia Faculty of Computing and Informatics Universiti Malaysia SabahJalan UMSKota Kinabalu88450SabahMalaysia School of Pharmaceutical Sciences Universiti Sains MalaysiaMindenPenang11800Malaysia

The effectiveness of the logic mining approach is strongly correlated to the quality of the induced logical representation that represent the behaviour of the ***,the optimum induced logical representation indicates the capability of the logic mining approach in generalizing the real datasets of different variants and *** main issues with the logic extracted by the standard logic mining techniques are lack of interpretability and the weakness in terms of the structural and arrangement of the 2 Satisfiability logic causing lower *** address the issues,the logical permutation serves as an alternative mechanism that can enhance the probability of the 2 Satisfiability logical rule becoming true by utilizing the definitive finite arrangement of *** work aims to examine and analyze the significant effect of logical permutation on the performance of data extraction ability of the logic mining approach incorporated with the recurrent discrete Hopfield Neural *** on the theory,the effect of permutation and associate memories in recurrent Hopfield Neural Network will potentially improve the accuracy of the existing logic mining *** validate the impact of the logical permutation on the retrieval phase of the logic mining model,the proposed work is experimentally tested on a different class of the benchmark real datasets ranging from the multivariate and timeseries *** experimental results show the significant improvement in the proposed logical permutation-based logic mining according to the domains such as compatibility,accuracy,and competitiveness as opposed to the plethora of standard 2 Satisfiability Reverse Analysis methods.

关键词： Logic mining logical permutation discrete hopfield neural network knowledge extraction

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Concurrent Material Selection of Natural Fibre Filament for Fused Deposition Modeling Using Integration of Analytic Hierarchy Process/Analytic Network Process

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Journal of Renewable Materials 2022年第5期10卷 1221-1238页

作者： M.T.Mastura R.Nadlene R.Jumaidin S.I.Abdul Kudus M.R.mansor H.M.S.Firdaus Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan Universiti Teknikal Malaysia MelakaMelaka76100Malaysia Fakulti Kejuruteraan Mekanikal Universiti Teknikal Malaysia MelakaMelaka76100Malaysia

The employment of natural fibres in fused deposition modeling has raised much attention from researchers in finding a suitable formulation for the natural fibre composite ***,selection of suitable natural fibres for fused deposition modeling should be performed before the development of the *** could not be performed without identifying selection criteria that comprehend both materials and fused deposition modeling process ***,in this study,integration of the Analytic Hierarchy Process(AHP)/Analytic Network Process(ANP)has been introduced in selecting the natural fibres based in different clusters of selection *** selection process has been performed based on the interdependency among the selection *** comparison matrices are constructed based on AHP’s hierarchical model and super matrices are constructed based on the ANP’s network *** a result,flax fibre has ranked at the top of the selection by scored 19.5%from the overall *** fibre has excellent material properties and been found in various natural fibre composite *** investigation is needed to study the compatibility of this fibre to be reinforced with a thermoplastic polymer matrix to develop a resultant natural fibre composite filament for fused deposition modeling.

关键词： Material selection natural fibre composites fused deposition modeling analytic hierarchy process analytic network process

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