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Deep Learning and Artificial Intelligence-Driven Advanced Methods for Acute Lymphoblastic Leukemia Identification and Classification: A Systematic Review

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Computer Modeling in Engineering & Sciences 2025年第2期142卷 1199-1231页

作者： Syed Ijaz Ur Rahman Naveed Abbas Sikandar Ali muhammad Salman Ahmed Alkhayat Jawad Khan Dildar Hussain Yeong Hyeon Gu Department of Computer Science Islamia CollegePeshawar25120Pakistan Department of Information Technology The University of HaripurHaripur22620Pakistan College of Technical Engineering The Islamic UniversityNajaf100986Iraq School of Computing Gachon UniversitySeongnam13120Republic of Korea Department of AI and Data Science Sejong UniversitySeoul05006Republic of Korea

Automatic detection of Leukemia or blood cancer is one of the most challenging tasks that need to be addressed in the healthcare *** of white blood cells(WBCs)in the blood or bone marrow microscopic slide images play a crucial part in early identification to facilitate medical *** Acute Lymphocytic Leukemia(ALL),the most preferred part of the blood or marrow is to be analyzed by the experts before it spreads in the whole body and the condition becomes *** researchers have done a lot of work in this field,to demonstrate a comprehensive analysis few literature reviews have been published focusing on various artificial intelligence-based techniques like machine and deep learning detection of *** systematic review has been done in this article under the PRISMA guidelines which presents the most recent advancements in this *** image segmentation techniques were broadly studied and categorized from various online databases like Google Scholar,Science Direct,and PubMed as image processing-based,traditional machine and deep learning-based,and advanced deep learning-based models were *** Neural Networks(CNN)based on traditional models and then the recent advancements in CNN used for the classification of ALL into its subtypes.A critical analysis of the existing methods is provided to offer clarity on the current state of the ***,the paper concludes with insights and suggestions for future research,aiming to guide new researchers in the development of advanced automated systems for detecting life-threatening diseases.

关键词： Acute lymphoblastic bone marrow segmentation classification machine learning deep learning convolutional neural network

Tunable and wideband high-performance rare earth-doped Ni-Mg-Cu-Zn nano ferrite-based meta-absorbers for C-band application

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Journal of Rare Earths 2025年第1期43卷 124-132,I0005页

作者： Majid Niaz Akhtar Magbool Alelyani Fatimah Mohammed AAlzahrani Abdullah Almohammedi Sabih Qamar MABaqir MIrfan muhammad Azhar Khan Kheir SAlbarkaty ZAAlrowaili MSAl-Buriahi Institute of Physics The Islamia University of Bahawalpur63100BahawalpurPakistan Department of Radiological Sciences College of Applied Medical ScienceKing Khalid University61421bhaSaudi Arabia Department of Chemistry College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabi Department of Physics Faculty of ScienceIslamic University of Madinah42352.Saudi Arabia Department of Chemical Engineering Muhammad Nawaz Sharif University of Engineering and Technology(MNSUET)60000MultanPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadSahiwal Campus57000Pakistan Department of Physics Umm Al-Qura UniversityMakkah24382Saudi Arabia Department of Physics College of ScienceJouf UniversityP.O.Box:201474331SakakaSoudi Arabia Department of Physics Sakarya University6900SakaryaTurkey

Due to advanced technology,electromagnet interference and dissipation problems in the electronic and portable devices at GHz range are increasing *** absorbing materials with outstanding electromagnetic properties,wide bandwidth,and strong absorption are highly *** present investigation deals with the preparation of Ni-Mg-Cu-Zn(NMCZ)substituted nano ferrites with composition of Ni_(0.3)Mg_(0.2)Cu_(0.3)Zn_(0.2)X_(0.02)Fe_(1.98)O_(4)(X=Nd,Ho,Pr,Gd,Yb).X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),field emission scanning electron microscopy(FESEM),transmission electron microscopy(TEM),a vibratory sample magnetometer(VSM),and a Vector network analyzer(VNA)were used to investigate these rare earth-doped nanocrystalline ferrites'*** reveals the single spinel phase structure in all Ni-Mg-Cu-Zn *** spectroscopy shows the presence of tetrahedral and octahedral bands of spinel *** images reveal the lowest agglomeration for the Ho-doped NMCZ nano-spinel ferrites *** images show the hexagon shapes of the Yb-and Nd-doped NMCZ ***-doped NMCZ ferrites show more coercivity than other rare earth metals substituted NMCZ nanocrystalline *** analysis was used to calculate the magnetic features like initial permeability,magnetic anisotropy constant,remanence,coercivity,and magnetic ***-frequency switching field distributions(SFD)analyses were also *** characteristics such as losses,permittivity,modulus,Q,ac conductivity,and impedance of the Nd^(-),Ho^(-),Pr^(-),Gd^(-),Yb-doped Ni-Mg-Cu-Zn ferrites were *** minimum reflection loss(-57.3 dB)is found at 1.4 GHz for Pr-doped Ni-Mg-Cu-Zn ferrite ***,the reflection loss(RL)of-53.9 dB at 2.9 GHz is observed for Ho-doped Ni-Mg-Cu-Zn ferrite *** magnetization,low coercivity,outstanding magnetodielectric,and absorption properties of theNd^(-),Ho^(-),Pr^(-),Gd^(-)and Yb^(-)doped Ni-Mg

关键词： Rare earths Reflection loss Cubic phase Magnetodielectric Ni-Mg-Cu-Zn(NMCZ)meta-absorber

Parametric relationship between hypoid gear teeth and accurate face-milling cutter

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Advances in Manufacturing 2020年第4期8卷 537-555页

作者： Mahmoud Rababah muhammad Wasif Syed Amir iqbal Department of Mechanical Engineering Hashemite UniversityZarqaJordan Department of Industrial and Manufacturing Engineering NED University of Engineering and TechnologyKarachiPakistan

The cutter systems of hypoid gear cutting machines contain groups of inside and outside *** these cutter systems,the side cutting edges of the blades machine the convex and concave gear teeth while rotating about the cutter rotation *** side cutting edges lay on the rake face formed through the blade,rake,and relief angles;hence,the normal cross-section of the cutter swept surface forms hyperboloid gear *** the accurate geometry of the cutter system,a relationship between the pressure and spiral angles of the gear tooth and the parameters of the cutter system is developed for the FORMAT machining of a hypoid gear.A new parameterization of the gear tooth surfaces is introduced to determine these angles for the accurate gear tooth by the accurate cutter system.A numerical example with different cutter systems and blade parameters is presented,demonstrating the effects of rake and relief angles over the pressure and spiral angles on mea n point projections and gear tooth ***,the change in pressure and spiral angles with respect to the rake and relief angles are plotted,and the results are ***,it is concluded that the pressure and spiral angles are changed up to a few seconds of a degree in the operating area of the tooth with the change in the back and side rake *** side relief angle exhibited little or no effect over the geometry of the gear tooth.

关键词： Hypoid gear Pressure angle Spiral angle Accurate blade Cutter head

Brain Tumor Segmentation in Multimodal MRI Using U-Net Layered Structure

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Computers, Materials & Continua 2023年第3期74卷 5267-5281页

作者： muhammad Javaid iqbal muhammad Waseem iqbal muhammad Anwar muhammad Murad Khan Abd Jabar Nazimi Mohammad Nazir Ahmad Department of Information Technology The Superior UniversityLahorePakistan Department of Software Engineering The Superior UniversityLahorePakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahorePakistan Department of Computer Science Government College UniversityFaisalabadPakistan Deptment of Oral and Maxillofacial Surgery Faculty of DentistryUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangorMalaysia

The brain tumour is the mass where some tissues become old or damaged,but they do not die or not leave their *** brain tumour masses occur due to malignant *** tissues must die so that new tissues are allowed to be born and take their *** segmentation is a complex and time-taking problem due to the tumour’s size,shape,and appearance *** finding such masses in the brain by analyzing Magnetic Resonance Images(MRI)is a crucial task for experts and *** could not work for large volume images simultaneously,and many errors occurred due to overwhelming image *** main objective of this research study is the segmentation of tumors in brain MRI images with the help of digital image processing and deep learning *** research study proposed an automatic model for tumor segmentation in MRI *** proposed model has a few significant steps,which first apply the pre-processing method for the whole dataset to convert Neuroimaging Informatics Technology Initiative(NIFTI)volumes into the 3D NumPy *** the second step,the proposed model adopts U-Net deep learning segmentation algorithm with an improved layered structure and sets the updated *** the third step,the proposed model uses state-of-the-art Medical Image Computing and Computer-Assisted Intervention(MICCAI)BRATS 2018 dataset withMRI modalities such as T1,T1Gd,T2,and Fluidattenuated inversion recovery(FLAIR).Tumour types in MRI images are classified according to the tumour *** of these masses carried by state-of-the-art approaches such that the first is enhancing tumour(label 4),edema(label 2),necrotic and non-enhancing tumour core(label 1),and the remaining region is label 0 such that edema(whole tumour),necrosis and *** proposed model is evaluated and gets the Dice Coefficient(DSC)value for High-grade glioma(HGG)volumes for their test set-a,test set-b,and test set-c 0.9795, 0.9855 and 0.9793, respectively.

关键词： Brain tumour segmentation magnetic resonance images modalities dice coefficient low-grade glioma U-Net

Enhanced catalytic features of sol-gel immobilized MnP isolated from solid state culture of Pleurotus ostreatus IBL-02

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Chinese Chemical Letters 2013年第4期24卷 344-346页

作者： muhammad Asgher Hafiz muhammad Nasir iqbal Industrial Biotechnology Laboratory Department of Chemistry and BiochemistryUniversity of Agriculture

An indigenous and industrially important manganese peroxidase （MnP） isolated from solid state culture of Pleurotus ostreatus IBL-02 was 2.1-fold purified and immobilized using sol-gel matrix of trimethoxysilane and proplytetramethoxysilane. Lower KM, higher Vmax, hyper-activation, enhanced acidic and thermal stability up to 70 ℃, were the improved]enhanced catalytic features of the presently sol-gel immobilized MnP. A maximum of 100% decolorization was achieved within a short time period for the different real dyes containing textile industry effluents i.e. Nishat textile （NIT）, K＆N textile （KIT）, Sitara textile （SIT）, and Crescent textile （CRT）.

关键词： P. ostreatus IBL-02MnPSol-gelTextile effluentDecolorization

Unveiling Effective Heuristic Strategies: A Review of Cross-Domain Heuristic Search Challenge Algorithms

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Computer Modeling in Engineering & Sciences 2025年第2期142卷 1233-1288页

作者： Mohamad Khairulamirin Md Razali MasriAyob Abdul Hadi Abd Rahman Razman Jarmin Chian Yong Liu muhammad Maaya Azarinah Izaham Graham Kendall Faculty of Information Science and Technology Universiti Kebangsaan MalaysiaBangi43600SelangorMalaysia Center for Artificial Intelligence Technology Universiti Kebangsaan MalaysiaBangi43600SelangorMalaysia Faculty of Medicine Universiti Kebangsaan Malaysia Medical CentreCheras56000Kuala LumpurMalaysia School of Engineering and Computing MILA UniversityNilai71800Negeri SembilanMalaysia School of Computer Science University of Nottingham-Malaysia CampusSemenyih43500SelangorMalaysia

The Cross-domain Heuristic Search Challenge(CHeSC)is a competition focused on creating efficient search algorithms adaptable to diverse problem *** hyper-heuristics are a class of algorithms that dynamically choose heuristics during the search *** selection hyper-heuristics have different imple-mentation ***,comparisons between them are lacking in the literature,and previous works have not highlighted the beneficial and detrimental implementation methods of different *** question is how to effectively employ them to produce an efficient search ***,the algorithms that competed in the inaugural CHeSC have not been collectively *** work conducts a review analysis of the top twenty competitors from this competition to identify effective and ineffective strategies influencing algorithmic performance.A summary of the main characteristics and classification of the algorithms is *** analysis underlines efficient and inefficient methods in eight key components,including search points,search phases,heuristic selection,move acceptance,feedback,Tabu mechanism,restart mechanism,and low-level heuristic parameter *** review analyzes the components referencing the competition’s final leaderboard and discusses future research directions for these *** effective approaches,identified as having the highest quality index,are mixed search point,iterated search phases,relay hybridization selection,threshold acceptance,mixed learning,Tabu heuristics,stochastic restart,and dynamic *** are also compared with recent trends in *** work enhances the understanding of selection hyper-heuristics,offering valuable insights for researchers and practitioners aiming to develop effective search algorithms for diverse problem domains.

关键词： Hyper-heuristics search algorithms optimization heuristic selection move acceptance learning diversification parameter control

An integrated photocatalytic redox architecture for simultaneous overall conversion of CO_(2)and H_(2)O toward CH_(4)and H_(2)O_(2)

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Science Bulletin 2025年第3期70卷 373-382页

作者： muhammad Salman Nasir Bowen Sheng Ying Zhao Haotian Ye Jun Song Jinglin Li Ping Wang Tao Wang Xinqiang Wang Zhen Huang Baowen Zhou Key Laboratory for Power Machinery and Engineering of Ministry of Education Research Center for Renewable Synthetic FuelSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Artificial Microstructure and Mesoscopic Physics School of PhysicsNano-Optoelectronics Frontier Center of Ministry of Education(NFC-MOE)Peking UniversityBeijing 100871China Department of Mining and Materials Engineering McGill UniversityMontrealH3A 0G4Canada Electron Microscopy Laboratory School of PhysicsPeking UniversityBeijing 100871China Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010China Collaborative Innovation Center of Quantum Matter School of PhysicsPeking UniversityBeijing 100871China

Solar-driven overall conversion of CO_(2)and H_(2)O into fuels and chemicals shows an ultimate strategy for carbon neutrality yet remains a huge ***,an integrated photocatalytic redox architecture of Zn NPs/GaN Nanowires(NWs)/Si is explored for light-driven overall conversion of CO_(2)and H_(2)O into CH_(4)and H_(2)O_(2)simultaneously without any external sacrificial agents and *** as-designed architecture affords a benchmark CH_(4)activity of 189 mmol gcat^(-1)h^(-1)with a high selectivity of 93.6%,in the synchronized formation of H_(2)O_(2)at a considerable rate of 25 m g^(-1)h^(-1).Moreover,a considerable turnover number of 27,280 mol CH_(4)per mol Zn was achieved over a long-term operation of 80 *** operando spectroscopic characterizations,isotope experiments,and density functional theory calculations,it is unraveled that Zn sites are synergetic with GaN to drive CO_(2)-to-CH_(4)conversion with a lowered energy barrier of 0.27 eV while inhibiting hydrogen evolution reaction with a relatively high energy barrier of 0.93 ***,owing to the unique surface properties of GaN,water is split into*OH and*H,followed by the formation of H_(2)O_(2)because of the alleviated adsorption strength of*OH by Zn ***,the hierarchical architecture enables the achievement of high activity and high selectivity of CH_(4)from CO_(2)reduction in distilled water along with the generation of H_(2)O_(2).This work provides an integrated photocatalytic redox architecture for the synchronized production of CH_(4)and H_(2)O_(2)with the only inputs of CO_(2),distilled water,and light.

关键词： Zn nanoparticles GaN nanowires/Si Integrated redox architecture Artificial photosynthesis CH_(4)and H_(2)0_(2)

Nano-Enhanced Dairy Scum Biodiesel Blends:Unleashing the Power of Aluminium Oxide for Sustainable and Efficient Engine Performance

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Journal of Thermal Science 2025年第1期34卷 283-302页

作者： Veeranna MODI Prasad B.RAMPURE Sunil Kumar SHETTY Madeva NAGARAL Channa Keshava NAIK N Johar MGM muhammad Irsyad ABDULLAH Abdullah I.AL-MANSOUR Shamshad ALAM KLE College of Engineering and Technology ChikodiVisvesvaraya Technological UniversityBelagavi 590018KarnatakaIndia Nitte(Deemed to be University) NMAM Institute of Technology(NMAMIT)Department of Mechanical EngineeringNitte 574110India Aircraft Research and Design Centre HALBangalore 560037KarnatakaIndia Department of Mechanical Engineering BGS College of Engineering and TechnologyBengaluruAffiliated to Visvesvaraya Technological UniversityBelagaviIndia Management and Science University Selangor Darul EhsanMalaysia Department of Civil Engineering College of EngineeringKing Saud UniversityRiyadh-11421Saudi Arabia

This study investigates the effect of aluminium oxide nanoparticlesaddition to biodiesel blends made from dairy milk scum on performance and combustion characteristics of the diesel *** dispersion of Al_(2)O_(3)nanoparticles in B20 blends at different concentrations was done with the help of *** number of blends were prepared for the *** Machine learning algorithms(Random Forest(RF)and CatBoost)was used for the *** results show that in comparison to biodiesel blends without nanoparticles,the kinematic viscosity and density is higher for fuel blends with *** these Fuel blends have higher calorific *** blends exhibited reduced Brake Specific Fuel Consumption(BSFC)of 2.85% than the blends without nano particles(Dairy Scum Methyl Ester Biodiesel 20%+Neat Diesel 80%(in volume),DSMEB20),57.14%less CO,40.8% less hydrocarbon,and increased NO_(x)emissions compared to conventional diesel,contributing to the development of environmentally friendly and renewable biofuel blends with *** B20NP30 is the optimal blend for performance and emission *** study concludes with findings on enhanced Brake Thermal Efficiency(BTE)of 26.29% in 3×10^(-5)(in volume)Al_(2)O_(3)nanoparticle-blended DSME B20 and other DSME B20 fuel blends,emphasizing the importance of optimal nanoparticle *** correlation matrix shows how engine load,efficiency measures(BTE,BSFC),and emissions(CO,CO_(2),NO_(x),Smoke)are connected in complex *** results help us understand the complicated dynamics of engine performance and emission characteristics ***'s diagram for BTE and BSFC shows that CatBoost-based BTE models perform superior to RF-based models during the training as well as testing *** results were obtained for CO and CO_(2)emission results.

关键词： Dairy Scum Methyl Ester Biodiesel CI engine Al_(2)O_(3)concentration

Fine mapping and identification of CaTTG1,a candidate gene that regulates the hypocotyl anthocyanin accumulation in Capsicum annuum

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Horticultural Plant Journal 2025年第1期11卷 264-274页

作者： Jin Wang Yao Dai Luzhao Pan Ying Chen Li Dai Yanqing Ma Xiaoxun Zhou Wu Miao muhammad Rizwan Hamid Xuexiao Zou Feng Liu Cheng Xiong Engineering Research Center for Germplasm Innovation and New Varieties Breeding of Horticultural Crops Key Laboratory for Vegetable Biology of Hunan ProvinceCollege of HorticultureHunan Agricultural UniversityChangshaHunan 410000China Hunan Xiangyan Seed Industry Co. LTDChangshaHunan 410000China

Pepper(Capsicum annuum L.)is a typical self-pollinating crop with obvious heterosis in ***,the use of morphological markers during the pepper seedling stage is crucial for pepper *** color of hypocotyl is widely used as a phenotypic marker in crossing studies of *** accessions generally have purple hypocotyls,which are mainly due to the anthocyanin accumulation in seedlings,and green hypocotyls are rarely observed in *** we reported the characterization of a green hypocotyl mutant of pepper,Cha1,which was identified from a pepper ethyl methanesulfonate(EMS)mutant *** mapping revealed that the causal gene,CaTTG1,belonging to the WD40 repeat family,controlled the green hypocotyl phenotype of the ***-induced gene silencing(VIGS)confirmed that CaTTG1 regulated anthocyanin ***-seq data showed that expression of structural genes CaDFR,CaANS,and CaUF3GT in the anthocyanin biosynthetic pathway was significantly decreased in Cha1 compared to the wild *** two-hybrid(Y2H)experiments also confirmed that CaTTG1 activated the synthesis of anthocyanin structural genes by forming a MBW complex with CaAN1 and *** summary,this study provided a green hypocotyl mutant of pepper,and the Kompetitive Allele Specific PCR(KASP)marker developed based on the mutation site of the underlying gene would be helpful for pepper breeding.

关键词： Pepper CaTTG1 Anthocyanin Hypocotyl color Fine-mapping