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Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 357-384页

作者： mohd Anjum Naoufel Kraiem Hong Min Ashit Kumar Dutta Yousef Ibrahim Daradkeh Department of Computer Engineering Aligarh Muslim UniversityAligarh202002India College of Computer Science King Khalid UniversityAbha61413Saudi Arabia School of Computing Gachon UniversitySeongnam13120Republic of Korea Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Saudi Arabia Department of Computer Engineering and Information College of Engineering in Wadi AlddawasirPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

Machine learning(ML)is increasingly applied for medical image processing with appropriate learning *** applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify specific flaws/diseases for *** primary concern of ML applications is the precise selection of flexible image features for pattern detection and region *** of the extracted image features are irrelevant and lead to an increase in computation ***,this article uses an analytical learning paradigm to design a Congruent Feature Selection Method to select the most relevant image *** process trains the learning paradigm using similarity and correlation-based features over different textural intensities and pixel *** similarity between the pixels over the various distribution patterns with high indexes is recommended for disease ***,the correlation based on intensity and distribution is analyzed to improve the feature selection ***,the more congruent pixels are sorted in the descending order of the selection,which identifies better regions than the ***,the learning paradigm is trained using intensity and region-based similarity to maximize the chances of ***,the probability of feature selection,regardless of the textures and medical image patterns,is *** process enhances the performance of ML applications for different medical image *** proposed method improves the accuracy,precision,and training rate by 13.19%,10.69%,and 11.06%,respectively,compared to other models for the selected *** mean error and selection time is also reduced by 12.56%and 13.56%,respectively,compared to the same models and dataset.

关键词： Computer vision feature selection machine learning region detection texture analysis image classification medical images

Exploring Nutritional Compositions,Volatile Compounds,Health Benefits,Emerging Processing Technologies,and Potential Food Products of Glutinous Rice:A Review

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Rice science 2024年第3期31卷 251-268页

作者： Maimunah mohd ALI Norhashila hashim Department of Food Sciences Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangi 43600SelangorMalaysia Department of Biological and Agricultural Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdang 43400SelangorMalaysia SMART Farming Technology Research Centre Faculty of EngineeringUniversiti Putra MalaysiaUPM Serdang 43400SelangorMalaysia Innovation Center for Confectionary Technology(MANIS) Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaUKM Bangi 43600Selangor Darul EhsanMalaysia

Glutinous rice(Oryza sativa ***)stands out as one of the most popular rice varieties globally,amidst thousands of rice *** increasing popularity is attributed to its rich nutritional compositions and health *** review aims to summarize the nutritional compositions,volatile compounds,and health benefits of glutinous ***,in-depth studies are necessary to explore the utilization of glutinous rice in enhancing processing technologies and developing new food *** rice has been shown to possess numerous health benefits,including antioxidant activity,bioactive compounds,anti-cancer properties,anti-inflammatory effects,anti-diabetic potential,and cholesterol-lowering *** its nutritional compositions,the major volatile compounds identified in glutinous rice could serve as a functional food for human *** processing technologies related to glutinous rice are elaborated to improve the latest developments for incorporating them into various food products.

关键词： glutinous rice health benefit volatile compound nutritional composition processing technology

A Review on Integration of IoT as an Approach for Energy Saving in Smart Sustainable Cities

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Journal of Environmental Science and Engineering(A) 2025年第1期14卷 60-71页

作者： mohd Addad Shehadeh Al-Taani Architecture Department Faculty of EngineeringAl al-Bayt UniversityMafraq 25113Jordan

Rapid urbanization has been happening around the world,leading to many challenges and difficulties in infrastructure,communication network,transportation,environmental and organizational *** and responsible management of urban resources plays a significant role in sustainable *** sustainable cities use ICTs(Information and Communication Technologies)to improve quality of life,efficiency of urban operation and *** latest advancement in communication,technology,data management,and IoT(Internet of Things)provide a tremendous role for practical implementations and adoption of devices and *** sustainable cities can be intellectualized as an innovative approach of controlling urban resources and valuable components based on the latest advancement in *** study focuses on reviewing and discussing the literature that states the vital components of IoT associated with smart sustainable cities in general and specifically with green energy.

关键词： IOT devices and sensors smart sustainable cities and green energy.

Can the Bass innovation diffusion model describe adsorption breakthrough curves of pharmaceutical contaminants?

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Green Chemical Engineering 2024年第2期5卷 145-149页

作者： Khim Hoong Chu mohd Ali hashim Department of Chemical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia

*** Fixed bed adsorption is a widely used separation process in the chemical industry for the processing of liquids and *** performance of fixed bed adsorption systems is often evaluated by analyzing the breakthrough curves,which represent the variation of the solute concentration in the effluent stream as a function of time or bed volume.

关键词： adsorption breakthrough curves

Modeling sprawl of unauthorized development using geospatial technology: case study in Kuantan district, Malaysia

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International Journal of Digital Earth 2011年第3期4卷 223-238页

作者： Mazlan hashim Norzailawati mohd Noor Maged Marghany Institute of Geospatial Science&Technology(INSTEG) Faculty of Geoinformation Sciences and EngineeringUniversiti Teknologi Malaysia81300 UTM SkudaiJohor BahruMalaysia

The paper explores a framework combining remote sensing and GIS-cellular automata(CA)concepts aimed at improving the modeling of unauthorized land use *** sensing data have been used in urban modeling and analysis,the use of high-resolution remote sensing data in assessing unauthorized development is quite *** work has demonstrated systematic combination utilization of geospatial analyses tools to acquire a new level of information to enable urban modeling and sprawl analysis in assisting urban sustainable *** this study,Kuantan city,Malaysia was selected in simulation of the unauthorized land use with CA concept for a period of 15 years(20002015),with main input time-series land use observation from 1995 to *** 2000 and 2005 land use input was also used as calibrated and test assessment of the *** results show excellent agreement between in-situ changes of the unauthorized land use classes and the corresponding simulated classes within the same *** conclusion,CA model can lead to new levels of understanding of how urban areas grow and change as in view of digital earth aspiration.

关键词： cellular automata sprawl remote sensing GIS urban simulation

Attention-Based Deep Learning Model for Early Detection of Parkinson’s Disease

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Computers, Materials & Continua 2022年第6期71卷 5183-5200页

作者： mohd Sadiq mohd Tauheed khan Sarfaraz Masood Department of Computer Engineering Jamia Millia IslamiaNew Delhi-110025India Department of Math and Computer Science Augustana CollegeRock IslandIllinois-61201USA

Parkinson’s disease(PD),classified under the category of a neurological syndrome,affects the brain of a person which leads to the motor and non-motor *** motor symptoms,one of the major disabling symptom is Freezing of Gait(FoG)that affects the daily standard of living of PD *** treatments target to improve the symptoms of *** of PD at the early stages is an arduous task due to being indistinguishable from a healthy *** work proposed a novel attention-basedmodel for the detection of FoG events and PD,andmeasuring the intensity of PD on the United Parkinson’s Disease Rating *** separate datasets,that is,UCF Daphnet dataset for detection of Freezing of Gait Events and PhysioNet Gait in PD Dataset were used for training and validating on their respective *** results show a definite rise in the various performance metrics when compared to landmark models on these problems using these *** results strongly suggest that the proposed state of the art attention-based deep learning model provide a consistent as well as an efficient solution to the selected *** valueswere obtained for various performance metrics like accuracy of 98.74%for detection FoG,98.72%for detection of PD and 98.05%for measuring the intensity of PD on *** model was also analyzed for robustness against noisy samples,where also model exhibited consistent *** results strongly suggest that the proposed model provides a better classification method for selected problem.

关键词： Parkinson’s disease freezing of gait the attention mechanism hyperparameter tuning attentive-FoGPDNet

DNNBoT: Deep Neural Network-Based Botnet Detection and Classification

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Computers, Materials & Continua 2022年第4期71卷 1729-1750页

作者： mohd Anul Haq mohd Abdul Rahim khan Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah 11952Saudi Arabia

The evolution and expansion of IoT devices reduced human efforts,increased resource utilization, and saved time;however, IoT devices createsignificant challenges such as lack of security and privacy, making them morevulnerable to IoT-based botnet attacks. There is a need to develop efficientand faster models which can work in real-time with efficiency and stability. The present investigation developed two novels, Deep Neural Network(DNN) models, DNNBoT1 and DNNBoT2, to detect and classify well-knownIoT botnet attacks such as Mirai and BASHLITE from nine compromisedindustrial-grade IoT devices. The utilization of PCA was made to featureextraction and improve effectual and accurate Botnet classification in IoTenvironments. The models were designed based on rigorous hyperparameterstuning with GridsearchCV. Early stopping was utilized to avoid the effects ofoverfitting and underfitting for both DNN models. The in-depth assessmentand evaluation of the developed models demonstrated that accuracy andefficiency are some of the best-performed models. The novelty of the presentinvestigation, with developed models, bridge the gaps by using a real datasetwith high accuracy and a significantly lower false alarm rate. The results wereevaluated based on earlier studies and deemed efficient at detecting botnetattacks using the real dataset.

关键词： Botnet network monitoring machine learning deep neural network IoT threat

Fungicide tolerant Bradyrhizobium japonicum mitigate toxicity and enhance greengram production under hexaconazole stress

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Journal of Environmental Sciences 2019年第4期31卷 92-108页

作者： Mohammad Shahid mohd.Saghir khan Department of Agricultural Microbiology Faculty of Agricultural SciencesAligarh Muslim University

Bacterial strain RV9 recovered from greengram nodules tolerated 2400 μg/mL of hexaconazole and was identified by 16 S rDNA sequence analysis as Bradyrhizobium japonicum(KY940048). Strain RV9 produced IAA(61.6 μg/mL), ACC deaminase(51.7 mg/(protein·hr)), solubilized TCP(105 μg/mL), secreted 337.6 μg/mL EPS, and produced SA(52.2 μg/mL) and 2,3-DHBA(28.3 μg/mL). Exopolysaccharides produced by strain RV9 was quantified and characterized by SEM, AFM, EDX and FTIR. Beyond tolerance limit,hexaconazole caused cellular impairment and reduced the viability of strain RV9 revealed by SEM and CLSM. Hexaconazole distorted the root tips and altered nodule structure leading thereby to reduction in the performance of greengram. Also, the level of antioxidant enzymes, proline, TBARS, ROS and cell death was increased in hexaconazole treated *** images revealed a concentration dependent increase in the characteristic green and blue fluorescence of hexaconazole treated roots. The application of B. japonicum strain RV9 alleviated the fungicide toxicity and improved the measured plant characteristics. Also,rhizobial cells were localized inside tissues as revealed by CLSM. Colonization of *** strain RV9 decreased the levels of CAT, POD, APX, GPX and TBARS by 80%, 5%,13%, 13% and 19%, respectively over plants grown at 80 μg/(hexaconazole·kg) soil. The ability to detoxify hexaconazole, colonize plant tissues, secrete PGP bioactive molecules even under fungicide pressure and its unique ability to diminish oxidative stress make *** an attractive choice for remediation of fungicide polluted soils and to concurrently enhance greengram production under stressed environment.

关键词： Hexaconazole toxicity Greengram Bradyrhizobium japonicum Cellular damage Nodule ultrastructure Oxidative stress

Low-energy X-ray attenuation characteristics of Rhizophora ***

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Nuclear Science and Techniques 2021年第3期32卷 11-29页

作者： Damilola Oluwafemi Samson Ahmad Shukri mohd Zubir Mat Jafri Rokiah hashim mohd Zahri Abdul Aziz Sylvester Jande Gemanam mohd Fahmi mohd Yusof School of Physics Universiti Sains Malaysia11800 GelugorPenangMalaysia School of Industrial Technology Universiti Sains Malaysia11800 GelugorPenangMalaysia Advanced Medical and Dental Institute Universiti Sains Malaysia13200 BertamPenangMalaysia School of Health Sciences Universiti Sains Malaysia16150 Kota BharuKelantanMalaysia

Photon absorption parameters such as mass attenuation coefficients(μ_m),molar extinction coefficients(ε),total molecular(σ_(t,m)),atomic(σ_(t,a))and electronic(σ_(t,el))cross sections,half-value layers(X_(1/2)),tenth-value layers(X_(1/10)),mean free paths(λ),effective atomic numbers(Z_(eff)),and effective electron densities(N_(el))were estimated for defatted soy flour(DSF),soy protein concentrate(SPC),and soy protein isolate(SPI)-based Rhizophora *** composites substituted with 10 wt%sodium hydroxide(NaOH)and 0,5,10,and 15 wt%itaconic acid polyamidoamine-epichlorohydrin(IA-PAE)*** composition was assessed using ultrahigh-resolution field emission scanning electron microscopy-energy dispersive X-ray spectrometry(UHR-FESEM-EDX).The interaction parameters were evaluated for K_(α1)photons at16.59,17.46,21.21,and 25.26 keV,employing a low-energy germanium(LEGe)detector system and an~(241)Amγ-ray source.X-ray diffraction characterization revealed an amorphous phase in the developed particleboard *** DSF15',SPC15',and SPI15'exhibited the highest values ofμ_m,ε,σ_(t,m),Zeff,and N_(el)among all of the studied particleboard samples,within the range of measured photon *** addition,all of the modified samples exhibited lower X_(1/2),X_(1/10),λ,σ_(t,a),andσ_(t,el)than the unmodified samples,with DSF-,SPC-,and SPI/NaOH/Rhizophora spp./IA-PAE(15 wt%),indicating insignificant *** current results of the particleboard samples'analysis can be useful for medical radiation applications and shielding research.

关键词： Photon interaction parameters Shielding DSF–SPC–SPI Particleboards NaOH/IA-PAE