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Littérature scientifique sur le sujet « Modal stacking »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Modal stacking"

Yoon, Taeyoung, and Daesung Kang. "Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases." Journal of Personalized Medicine 13, no. 2 (2023): 373. http://dx.doi.org/10.3390/jpm13020373.

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Background: Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Deep learning methods have been widely used in the field of medical image analysis and have shown promising results in the diagnosis of CVDs. Methods: Experiments were performed on 12-lead electrocardiogram (ECG) databases collected by Chapman University and Shaoxing People’s Hospital. The ECG signal of each lead was converted into a scalogram image and an ECG grayscale image and used to fine-tune the pretrained ResNet-50 model of each lead. The ResNet-50 model was used as a base learner for the stacking ensembl

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V Pujar, Nagabhushan, N. V. Nanjundaradhya, and Ramesh S. Sharma. "Experimental investigation of the tensile and modal properties of epoxy based symmetric interlayer glass/carbon hybrid composites." Materials Research Express 9, no. 2 (2022): 025304. http://dx.doi.org/10.1088/2053-1591/ac4f88.

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Abstract: Interlayer hybrid composites can be tailored for enhanced strength and stiffness. Research on enhancing the mechanical properties of Interlayer hybrid composites is being explored by varying fiber orientations, layup sequence, different type of fiber materials. The objective of this work is to investigate the effect of stacking sequence of the high modulus carbon fibers on the tensile and modal properties of symmetric glass/carbon fiber interlayer composite. The interlayer hybrid composites were fabricated for different stacking sequence of carbon fibers using hand layup technique. T

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Majid, Dayang Laila, Mohd Norhasani Abdullah Sani, Faizal Mustapha, Hafiz Hanafi, and Mohamed Thariq Hameed Sultan. "Modal Properties of a Cantilevered Laminated Woven Composite Plate as Affected by Stacking Sequence and Fiber Orientation: An Experimental Study." Applied Mechanics and Materials 225 (November 2012): 132–37. http://dx.doi.org/10.4028/www.scientific.net/amm.225.132.

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The use of laminated composites in aircraft structures is not totally new. However, the idea of using woven fiber glass as reinforcement in primary structural members is not widely addressed as compared to unidirectional fibers. In an effort to characterize the dynamic behavior of a woven laminated composite subject to dynamic loads, modal testing is performed experimentally on a cantilevered laminated woven glass fiber/epoxy composite flat plate which resembles an aircraft wing with aspect ratio of 5. To that end, the effect of stacking sequence and fiber orientation of the laminated composit

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Li, Chaoqun, Zao Feng, Mingkai Jiang, and Zhenglang Wang. "A Zero-Shot Learning Approach for Blockage Detection and Identification Based on the Stacking Ensemble Model." Sensors 24, no. 17 (2024): 5596. http://dx.doi.org/10.3390/s24175596.

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A data-driven approach to defect identification requires many labeled samples for model training. Yet new defects tend to appear during data acquisition cycles, which can lead to a lack of labeled samples of these new defects. Aiming at solving this problem, we proposed a zero-shot pipeline blockage detection and identification method based on stacking ensemble learning. The experimental signals were first decomposed using variational modal decomposition (VMD), and then, the information entropy was calculated for each intrinsic modal function (IMF) component to construct the feature sets. Seco

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Ma, Xiao Fei, Fu Lei Huo, and Guo Li Zhang. "Effects of Stacking Sequence on the Dynamic Characteristics of Hybrid Sandwich Composites Plates." Applied Mechanics and Materials 423-426 (September 2013): 1283–86. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.1283.

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In this paper, the vibration performance of hybrid sandwich composites plates with different stacking was investigated by modal test. The results showed that the reduction in layer numbers of the unidirectional carbon fiber epoxy prepreg in 0odirection will result the decrease in the natural frequency values for bending modal, the increment of layer numbers of 2D woven epoxy prepreg with plain weave will result the enhancement the of torsional modal. The reinforcements of unidirectional carbon fiber epoxy prepreg in ±45odirection has a preferential effect on the torsional modal natural frequen

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Shaker, Hala, and Salah Al-Darraji. "Face Anti-Spoofing Detection with Multi-Modal CNN Enhanced by ResNet." Basrah Researches Sciences 50, no. 1 (2024): 12. http://dx.doi.org/10.56714/bjrs.50.1.7.

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The growing prevalence of face recognition technology in various applications, including mobile devices, access control, and financial transactions, highlights its importance. However, the vulnerability of face recognition systems to attacks has been demonstrated, underscoring the necessity of addressing potential weaknesses that attackers may exploit. The paper delves into face presentation attack detection (PAD) within biometric systems, which is crucial for ensuring the reliability and security of face recognition algorithms. To address this issue, the paper proposes a method for face prese

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Kumar, Dhotre Pavan, and Chikkol V. Srinivasa. "Modal Characterization of Sandwich Skew Plates." Acta Mechanica et Automatica 15, no. 3 (2021): 143–53. http://dx.doi.org/10.2478/ama-2021-0019.

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Abstract The current work focuses on the experimental and finite element free vibration studies of laminated composite sandwich skew plates. The comparison was made between the experimental values obtained by the Fast Fourier transform (FFT) analyzer and a finite element solution obtained from CQUAD8 finite element of The MacNeal-Schwendler Corporation (MSC) / NASA STRucture Analysis (NASTRAN) software. The influence of parameters such as aspect ratio (AR) (a/b), skew angle (α), edge condition, laminate stacking sequence, and fiber orientation angle (θ°) on the natural frequencies of sandwich

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Chiluveri, Vishnu. "Space Object Recognition Using Multi-modal Image Fusion and Stacking of CoAtNets." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 2665–72. http://dx.doi.org/10.22214/ijraset.2024.60430.

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Abstract: Produced merged thermal images with RGB and depth images by using the CoAtNet model or stacked Convolutional and Attention Network, so as to give an improvement in performance to preserve the robustness all the time in different thermal conditions of space. The proposed research then extends the conventional RGB-depth fusion with thermal data to realize the role of thermal characteristics in the identification of material properties and operational status of space objects. This will allow for the very comprehensive capture of spatial and thermal features that are very essential in th

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Etxepare Igiñitz, Ricardo, and Myriam Uribe-Etxebarria. "Word order and syntactic asymmetries in Basque modal constructions." Fontes Linguae Vasconum, no. 126 (December 21, 2018): 389–414. http://dx.doi.org/10.35462/flv126.5.

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This work focuses on a subset of modal constructions in Basque: those involving the necessity modal behar (‘need/must’/‘have to’). Behar can take either a DP or an uninflected clause as its complement. Uninflected clauses can, in some varieties of Basque, naturally occur preceding or following the predicate. Etxepare and Uribe-Etxebarria (2009) show that the differences in word order correlate with a number of intriguing syntactic asymmetries. In this paper, we extend the relevant observations to include modal stacking, as well as the effect of complement-internal left peripheral elements in t

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Ahmed, Sohail, and M. N. Ahmed. "Modal Analysis of Thin Walled Multi-Cell Multi-Tapered Composite Beams of Closed Cross Sections." Applied Mechanics and Materials 629 (October 2014): 82–88. http://dx.doi.org/10.4028/www.scientific.net/amm.629.82.

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This paper explicitly highlights the modal analysis of thin walled multi-cell multi-tapered composite beams in cantilever configurations, using MSC Patran / Nastran finite element package. Initially, the verification of the model was done with the analytical results in order to ensure the model accuracy. All the multi-tapered beams under examination are composed of closed section and three cell configuration. There is a vivid description of all the effects of composite material and stacking sequence on the modal frequencies. It also suggests the ways to shift the natural frequencies of the mul

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Thèses sur le sujet "Modal stacking"

Ngo, Khai Thoi. "Stacking Ensemble for auto_ml." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83547.

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Machine learning has been a subject undergoing intense study across many different industries and academic research areas. Companies and researchers have taken full advantages of various machine learning approaches to solve their problems; however, vast understanding and study of the field is required for developers to fully harvest the potential of different machine learning models and to achieve efficient results. Therefore, this thesis begins by comparing auto ml with other hyper-parameter optimization techniques. auto ml is a fully autonomous framework that lessens the knowledge prerequisi

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Srivastava, Alok Kumar 1967. "A model for sample stacking in microcapillary DNA electrophoresis." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/29922.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2002. Includes bibliographical references (leaves 129-135). Sanger's method of chain termination is the method of choice in DNA sequencing, where electrophoresis is used to separate the different sized DNA. In the past decade, microfabricated capillary devices have been developed and are increasingly used to perform DNA electrophoresis. While tremendous progress has been made in the process, sample injection has not been well understood. In an earlier study, images of sample injection obtained using

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Li, Jianeng. "Research on a Heart Disease Prediction Model Based on the Stacking Principle." Thesis, Högskolan Dalarna, Informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34591.

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In this study, the prediction model based on the Stacking principle is called the Stacking fusion model. Little evidence demonstrates that the Stacking fusion model possesses better prediction performance in the field of heart disease diagnosis than other classification models. Since this model belongs to the family of ensemble learning models, which has a bad interpretability, it should be used with caution in medical diagnoses. The purpose of this study is to verify whether the Stacking fusion model has better prediction performance than stand-alone machine learning models and other ensemble

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Pinamonti, Giovanni. "Studying the dynamical properties of small RNA molecules with computational techniques." Doctoral thesis, SISSA, 2016. http://hdl.handle.net/20.500.11767/4905.

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The role of ribonucleic acid (RNA) in molecular biology is shifting from a mere messenger between DNA (deoxyribonucleic acid) and proteins to an important player in many cellular activities. The central role of RNA molecules calls for a precise characterization of their structural and dynamical properties. Nowadays, experiments can be efficiently complemented by computational approaches. This thesis deals with the study of the dynamical properties of small RNA molecules, exploiting various computational techniques. Specifically we investigate two different complementary methods, elastic netw

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Gbemou, Kodjovi. "Modélisation de l’interaction des coeurs de dislocations et des joints de grains." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0045/document.

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Durant cette thèse, on s’intéresse à l’application et au développement d’une théorie de mécanique des champs de dislocations et de désinclinaisons pour modéliser de façon continue les structures de cœur des dislocations et des joints de grains ainsi que leurs interactions. Le vecteur de Burgers/Frank des dislocations/désinclinaisons est régularisé par l’introduction d’un tenseur densité de dislocations/désinclinaisons. A ces densités de défauts sont associées des déformations et des courbures élastiques et plastiques incompatibles responsables de champs de contraintes et de moments de contrain

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Andraud, Chantal. "Defauts d'empilement dans le materiau unidimensionnel cscdbr::(3) : etude spectroscopique." Paris 6, 1987. http://www.theses.fr/1987PA066140.

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L'etude des proprietes optiques de cscdbr::(3) a montre l'existence de centres br::(2)**(2-). L'excitation des echantillons par des rayonnements ionisants (rx, faisceau d'electrons) et des experiences d'absorption a deux photons ont permis d'associer les differentes bandes d'emission et d'absorption observees a des transitions appartenant a ces centres. L'existence de ces centres br::(2)**(2-) est attribuee a la presence de defauts d'empilement. L'effet d'une pression hydrostatique, le dopage par des ions pb**(2x) et le recuit des cristaux confirment l'hypothese

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Huang, Ming-Chien, and 黃明謙. "Efficient Assignment of Inter-Die Signals in Simplified Wiring Model for Die-Stacking SiP Designs." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/50272624443972827868.

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碩士 中華大學 資訊工程學系碩士班 100 Compared with the traditional flow in IC designs, the assignment of inter-die signals is an important stage in a die-stacking SiP design. Given a tolerant distance between two different inter-die signals, the crossing constraint between two different inter-die signals can be defined, and a connection graph for all the pads in any boundary stack can be constructed by using a simplified wiring mode for the bonding wires in a die-stacking SiP design. Furthermore, a set of dynamic tracks can be defined from the corresponding connection graph. Based on the definiti

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蕭淑君. "Theoretical and Computational Study of Growth Mechanism of Fullerene Cage C36(C2v):Ring-stacking Model." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/19560343432295525299.

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Lin, Wen-Hsin, and 林文信. "Computational studies of kinetic-ring stacking model for the growth of small fullerene cages C2n (n=12 ~ 18)." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/04856190676731226022.

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博士 國立中正大學 化學研究所 93 In this study, a combined quantum mechanical/graph theoretic method has been used to examine the ring-stacking mechanism for the growth of small fullerene cages C2n (n=12-18). It is observed that the reactions between the precursors and the belts in most cases are endothermic, and the reactions between the stable intermediates (bowls) and final belts are exothermic which is akin to the fullerene annealing process. According to the deformation analysis, the monocyclic precursor is found to have lower deformation energies than the polycyclic precursors. The first s

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"THE DEVELOPMENT OF AN AUTOMATED TWO-DIMENSIONAL INFRARED SPECTROMETER AND ITS USE IN THE STUDY OF π-STACKING AND 5th-ORDER DYNAMICS ON MODEL COMPOUNDS". Tulane University, 2016.

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Chapitres de livres sur le sujet "Modal stacking"

Yaghoubi, A. Seyed, and B. Liaw. "Experimental and Numerical Approaches on Behavior of GLARE 5 Beams: Influences of Thickness and Stacking Sequence." In Topics in Modal Analysis II, Volume 6. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2419-2_2.

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Cui, Shaoguo, Haodong Xu, Huanhuan Ren, Jinwang Feng, Yongmei Li, and Haojie Song. "Advanced Predictive Analytics for Hemorrhagic Complications: A Multi-modal Contrastive Learning and Stacking Ensemble Approach." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-95-0027-7_17.

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Bobek, Szymon, Maciej Mozolewski, and Grzegorz J. Nalepa. "Explanation-Driven Model Stacking." In Computational Science – ICCS 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77980-1_28.

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Aziz, N. M. "A Hierarchical Model for Spatial Stacking." In New Trends in Computer Graphics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83492-9_23.

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Džeroski, Sašo, and Bernard Ženko. "Stacking with Multi-response Model Trees." In Multiple Classifier Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45428-4_20.

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Rao, D. Srinivasa, Surya Sai Sameera Chaganti, Santhi Saranya Chelikani, Yaswant Venkat Nandamuri, and Puvvula Venkat Nippun. "Crop Yield Prediction Using Stacking Ensemble Model." In Proceedings of International Conference on Computational Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3526-6_38.

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Zhou, Yiqian. "Stacking-Based Model for House Price Prediction." In Applied Economics and Policy Studies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0523-8_88.

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Pavan, P., M. A. Saifulla, and Nemalikanti Anand. "Improvising Encrypted Traffic Analysis Using Stacking Ensemble Model." In Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-5015-7_32.

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Ju, Xunguang, Kai Xiao, Luying He, Qi Wang, Zhuo Wang, and Wenzheng Bao. "Plant Vacuole Protein Classification with Ensemble Stacking Model." In Lecture Notes in Computer Science. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4749-2_53.

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Zeng, LingLing, Jin Sun, and YiMin Zhou. "Auto loan default prediction based on Stacking model." In Atlantis Highlights in Economics, Business and Management. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-270-5_31.

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Actes de conférences sur le sujet "Modal stacking"

Huang, Y., J. Li, T. Shan, et al. "Multi-Modal Full-Area High-Resolution Human-Machine Interactive Surface with 3D Stacking of IGZO TFT Active-Matrix Capacitive and Optical Sensing Arrays." In 2024 IEEE International Electron Devices Meeting (IEDM). IEEE, 2024. https://doi.org/10.1109/iedm50854.2024.10873489.

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Sri Kavya, G. Naga, B. Sobha Latha, K. Sita Kumari, and K. Thanuja. "Diabetes Prediction Using Stacking Ensemble Model." In 2025 International Conference on Intelligent Control, Computing and Communications (IC3). IEEE, 2025. https://doi.org/10.1109/ic363308.2025.10957289.

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Qi, Bolin, Hao Li, and Hongliang Wang. "A Stacking-Based VOCs Emission Prediction Model." In 2024 13th International Conference of Information and Communication Technology (ICTech). IEEE, 2024. https://doi.org/10.1109/ictech63197.2024.00068.

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Juwariyah, Siti, and Ema Utami. "Enhancing Stacking Model Fusion for Heart Disease Prediction." In 2024 IEEE International Conference on Technology, Informatics, Management, Engineering and Environment (TIME-E). IEEE, 2024. https://doi.org/10.1109/time-e62724.2024.10919829.

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Wang, Huizhe, Zongmin Ma, Wei Qi, Nan Zhang, and Hongwei Zhuang. "A Research Review of the Stacking Classification Model." In 2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2024. https://doi.org/10.1109/mlbdbi63974.2024.10823722.

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Islam, Kazi Hasebul, Dilu Biswas, Md Mohibbullah Akash, Tanpia Tasnim, and Al Zadid Sultan Bin Habib. "ThyroStack: A Stacking Model for Thyroid Disease Prediction." In 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI). IEEE, 2024. https://doi.org/10.1109/sti64222.2024.10951130.

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Patnaik, Asish Kumar, Neelamadhab Padhy, Archana Patnaik, Rasmita Panigrahi, and Bedadyuti Sahoo. "Stacking Approach for Crop Recommendation Using Meta Model." In 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC). IEEE, 2025. https://doi.org/10.1109/esic64052.2025.10962614.

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F, Rosita Kamala, Annakumari, and Anitha K L. "Stacking Ensemble Model for Stress Detection using Sleeping Habits." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915516.

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Rahman, Md Tanziar, Sarhan Wasif, Md Abu Ismail Siddique, and Saifur Rahman. "Enhancing Software Defect Prediction Accuracy using Stacking Ensemble Model." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11021697.

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Arora, Kabeer, Koena Sarkar, and Ponmagal R. S. "Optimizing Crop Recommendation Using Adaptive Hybrid Stacking Ensemble Model." In 2025 3rd International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2025. https://doi.org/10.1109/icici65870.2025.11069972.

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