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Artykuły w czasopismach na temat „Proposal of a method”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Liu, Gang, and Chuyi Wang. "A Novel Multi-Scale Feature Fusion Method for Region Proposal Network in Fast Object Detection." International Journal of Data Warehousing and Mining 16, no. 3 (2020): 132–45. http://dx.doi.org/10.4018/ijdwm.2020070107.

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Neural network models have been widely used in the field of object detecting. The region proposal methods are widely used in the current object detection networks and have achieved well performance. The common region proposal methods hunt the objects by generating thousands of the candidate boxes. Compared to other region proposal methods, the region proposal network (RPN) method improves the accuracy and detection speed with several hundred candidate boxes. However, since the feature maps contains insufficient information, the ability of RPN to detect and locate small-sized objects is poor. A

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Zhang, Yi Chuan, Li Fang Qiao, An Guo Qi, and Lian Fang Yao. "An Evaluation of Urban Artificial Wetland Landscape Proposal Based on AHP-TOPSIS." Advanced Materials Research 113-116 (June 2010): 1452–55. http://dx.doi.org/10.4028/www.scientific.net/amr.113-116.1452.

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The urban artificial wetland is an important component of an urban green space system, and the adoption of quantitative method for studying the evaluation of urban wetland landscape proposal is of great significance to promote the construction of urban artificial wetland. In this study, the evaluation system of urban artificial wetland landscape proposal was established by selecting 6 indicators such as technology, bio-diversity, landscape function, maintenance, construction cost and artistic effect, and adopting the methods of Analytic Hierarchy Process (AHP) and Technique for Order Preferenc

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Awangga, Rolly Maulana, Syafrial Fachri Pane, and Khaera Tunnisa. "Collaboration FMADM And K-Means Clustering To Determine The Activity Proposal In Operational Management Activity." EMITTER International Journal of Engineering Technology 7, no. 1 (2019): 44–54. http://dx.doi.org/10.24003/emitter.v7i1.317.

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Indonesian government agencies under the Ministry of Energy and Mineral Resources still use manual methods in determining and selecting proposals for operational activities to be carried out. This study uses the Decision Support System (DSS) method, namely Fuzzy Multiple Attribute Decision Decision (Fmadm) and K-Means Clustering method in managing Operational Plan activities. Fmadm to select the best alternative from a number of alternatives, alternatives from this study proposed activity proposals, then ranking to determine the optimal alternative. The K-Means Clustering Method to obtain clus

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Harahap, Riska, Maharani Putri Adam Siahaan, and Rina Widyasari. "APPLICATION OF THE MONTE CARLO METHOD IN PREDICTING THE NUMBER OF BUDGET PROPOSALS ACCEPTED IN NORTH SUMATRA PROVINCIAL HEALTH OFFICE." Journal of Mathematics and Scientific Computing With Applications 5, no. 1 (2024): 8–13. https://doi.org/10.53806/jmscowa.v5i1.873.

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A budget is a planning tool regarding future expenditure and revenues, generally prepared for one year. The prediction simulation for approved budget proposals is an estimate of the calculation of the approval rate for approved proposals in the following year. This research uses the Monte Carlo method in solving problems. This method can be used in problems with nonlinear boundary conditions, namely prediction limits.the author uses a quantitative descriptive method, which is a form of research that focuses on the facts and characteristics of the research object by combining related variables.

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Sooksatra, Sorn, and Sitapa Watcharapinchai. "Temporal Gap-Aware Attention Model for Temporal Action Proposal Generation." Journal of Imaging 10, no. 12 (2024): 307. https://doi.org/10.3390/jimaging10120307.

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Temporal action proposal generation is a method for extracting temporal action instances or proposals from untrimmed videos. Existing methods often struggle to segment contiguous action proposals, which are a group of action boundaries with small temporal gaps. To address this limitation, we propose incorporating an attention mechanism to weigh the importance of each proposal within a contiguous group. This mechanism leverages the gap displacement between proposals to calculate attention scores, enabling a more accurate localization of action boundaries. We evaluate our method against a state-

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Liu, Chunsheng, Yu Guo, Shuang Li, and Faliang Chang. "ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images." Sensors 19, no. 12 (2019): 2671. http://dx.doi.org/10.3390/s19122671.

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You Only Look Once (YOLO) deep network can detect objects quickly with high precision and has been successfully applied in many detection problems. The main shortcoming of YOLO network is that YOLO network usually cannot achieve high precision when dealing with small-size object detection in high resolution images. To overcome this problem, we propose an effective region proposal extraction method for YOLO network to constitute an entire detection structure named ACF-PR-YOLO, and take the cyclist detection problem to show our methods. Instead of directly using the generated region proposals fo

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Yang, Haosen, Wenhao Wu, Lining Wang, et al. "Temporal Action Proposal Generation with Background Constraint." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (2022): 3054–62. http://dx.doi.org/10.1609/aaai.v36i3.20212.

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Temporal action proposal generation (TAPG) is a challenging task that aims to locate action instances in untrimmed videos with temporal boundaries. To evaluate the confidence of proposals, the existing works typically predict action score of proposals that are supervised by the temporal Intersection-over-Union (tIoU) between proposal and the ground-truth. In this paper, we innovatively propose a general auxiliary Background Constraint idea to further suppress low-quality proposals, by utilizing the background prediction score to restrict the confidence of proposals. In this way, the Background

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Cao, Pingping, Yanping Zhu, Yuhao Jin, Benkun Ruan, and Qiang Niu. "DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection." Journal of Artificial Intelligence Research 79 (April 4, 2024): 1091–112. http://dx.doi.org/10.1613/jair.1.15698.

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We propose a Dynamic Interaction Graph Convolutional Network (DIGCN), an image object detection method based on learnable proposals and GCN. Existing object detection methods usually work on dense candidates, resulting in redundant and near-duplicate results. Meanwhile, non-maximum suppression post-processing operations are required to eliminate negative effects, which increases the computational complexity. Although the existing sparse detector avoids cumbersome post-processing operations, it ignores the potential relationship between objects and proposals, which hinders detection accuracy im

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Wu, Longhuang, Shangxuan Tian, Youxin Wang, and Pengfei Xiong. "CPN: Complementary Proposal Network for Unconstrained Text Detection." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 6057–65. http://dx.doi.org/10.1609/aaai.v38i6.28421.

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Existing methods for scene text detection can be divided into two paradigms: segmentation-based and anchor-based. While Segmentation-based methods are well-suited for irregular shapes, they struggle with compact or overlapping layouts. Conversely, anchor-based approaches excel for complex layouts but suffer from irregular shapes. To strengthen their merits and overcome their respective demerits, we propose a Complementary Proposal Network (CPN) that seamlessly and parallelly integrates semantic and geometric information for superior performance. The CPN comprises two efficient networks for pro

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Chang, Ray-I., Chao-Lung Ting, Syuan-Yi Wu, and Peng-Yeng Yin. "Context-Dependent Object Proposal and Recognition." Symmetry 12, no. 10 (2020): 1619. http://dx.doi.org/10.3390/sym12101619.

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Accurate and fast object recognition is crucial in applications such as automatic driving and unmanned aerial vehicles. Traditional object recognition methods relying on image-wise computations cannot afford such real-time applications. Object proposal methods appear to fit into this scenario by segmenting object-like regions to be further analyzed by sophisticated recognition models. Traditional object proposal methods have the drawback of generating many proposals in order to maintain a satisfactory recall of true objects. This paper presents two proposal refinement strategies based on low-l

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Iyer, Govind S., and Ananth Seetharaman. "An Evaluation of Alternative Procedures for Measuring Horizontal Inequity." Journal of the American Taxation Association 22, no. 1 (2000): 89–110. http://dx.doi.org/10.2308/jata.2000.22.1.89.

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In this study we evaluate the strengths and limitations of three distinct methods for measuring horizontal inequity (HI): the coefficient of variation method, the rankpreservation method, and the decomposition method. By way of illustrating the alternative measures, we assess the equity characteristics of three proposed flat tax systems. We conclude that the rank preservation and decomposition methods, while subject to certain limitations, yield HI indices that are more meaningful and convenient than the popular coefficient of variation technique. Preliminary results indicate that the current

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Marlon Pura Tanya, Arini Aha Pekuwali, and Murry Albert Agstin Lobo. "Aplikasi Pengajuan Proposal Bantuan Pada Dinas Kelautan Dan Perikanan Kabupaten Sumba Timur Berbasis Android." JURNAL PENELITIAN SISTEM INFORMASI (JPSI) 2, no. 1 (2024): 125–37. http://dx.doi.org/10.54066/jpsi.v2i1.1548.

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The East Sumba Regency Maritime and Fisheries Service (DKP) is responsible for developing the fisheries sector. However, the process of submitting aid proposals still uses less efficient methods. To overcome this problem, researchers developed an Android-based application for submitting aid proposals online. This application allows aid applicants to upload proposal files electronically quickly and accurately. The use of this application is expected to reduce the costs and risks of physical travel and save time in the proposal collection process. This application development method uses the wat

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13

Mulawarman, Widyatmike Gede, and Nanda Noviyanti. "Manajemen Bahasa Penulisan Proposal Mahasiswa Nonkebahasaan." Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya 3, no. 1 (2020): 53–64. http://dx.doi.org/10.30872/diglosia.v3i1.49.

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This research raised the issue of language management as (1) the planning process in determining the vision and mission of writing a proposal (formulating a topic), (2) organizing (compiling the proposal writing structure as effectively as possible), (3) conducting a leadership strategy, that is, a strategy related to motivating, influencing and directing the reader, and (4) controlling (editing or editing the proposal writing). These four aspects of language management are focused on the use of Indonesian in proposals in terms of (1) sentence structure, (2) structure, (3) meaning/diction, and

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McCutcheon, Russell T. "A Modest Proposal on Method." Method & Theory in the Study of Religion 25, no. 4-5 (2013): 339–49. http://dx.doi.org/10.1163/15700682-12341298.

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Abstract This paper offers a diagnosis as to why NAASR’s identity has become more ambiguous over the past decade (i.e., the appropriation of postmodernism to authorize polemical positions) and offers a proposal on how the more precise definition of this journal’s key terms—method and theory—might assist the association to provide a hospitable home for two different groups of scholars who are equally alienated from the field’s dominant form.

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Guihard, M., E. Hutin, I. M. Albertsen, V. Mardale, and J. M. Gracies. "Proposal of tremor quantification method." Annals of Physical and Rehabilitation Medicine 58 (September 2015): e117-e118. http://dx.doi.org/10.1016/j.rehab.2015.07.285.

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MATSUSHITA, Susumu, and Yasuhiro MIKI. "PROPOSAL OF FLUX-UNIT METHOD." Journal of Environmental Engineering (Transactions of AIJ) 78, no. 686 (2013): 325–31. http://dx.doi.org/10.3130/aije.78.325.

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Hernández-González, Lizbeth Alejandra, Ulises Juárez-Martínez, Jezreel Mejía, and Alberto Aguilar-Laserre. "A Proposal of Naturalistic Software Development Method." JUCS - Journal of Universal Computer Science 30, no. (2) (2024): 179–203. https://doi.org/10.3897/jucs.105637.

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Naturalistic programming purports to include natural language elements in programming languages to increase software expressiveness. Even though natural language is inherently ambiguous, it is richer and thus more expressive than any artificial language. Currently, the Naturalistic Programming Paradigm (NPP) is supported by its conceptual model and three general-purpose naturalistic programming languages that can generate executable binary code. Nevertheless, to date, no research efforts have been concentrated on applying the NPP within a software development process. To address this gap, in t

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Liu, Nengyuan, Zongjie Cao, Zongyong Cui, Yiming Pi, and Sihang Dang. "Multi-Scale Proposal Generation for Ship Detection in SAR Images." Remote Sensing 11, no. 5 (2019): 526. http://dx.doi.org/10.3390/rs11050526.

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The classic ship detection methods in synthetic aperture radar (SAR) images suffer from an extreme variance of ship scale. Generating a set of ship proposals before detection operation can effectively alleviate the multi-scale problem. In order to construct a scale-independent proposal generator for SAR images, we suggest four characteristics of ships in SAR images and the corresponding four procedures in this paper. Based on these characteristics and procedures, we put forward a framework to explore multi-scale ship proposals. The designed framework mainly contains two stages: hierarchical gr

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Chen, Guo, Yin-Dong Zheng, Limin Wang, and Tong Lu. "DCAN: Improving Temporal Action Detection via Dual Context Aggregation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (2022): 248–57. http://dx.doi.org/10.1609/aaai.v36i1.19900.

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Temporal action detection aims to locate the boundaries of action in the video. The current method based on boundary matching enumerates and calculates all possible boundary matchings to generate proposals. However, these methods neglect the long-range context aggregation in boundary prediction. At the same time, due to the similar semantics of adjacent matchings, local semantic aggregation of densely-generated matchings cannot improve semantic richness and discrimination. In this paper, we propose the end-to-end proposal generation method named Dual Context Aggregation Network (DCAN) to aggre

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Wang, Yujiao, and Hua Huo. "Improved Regional Proposal Generation and Proposal Selection Method for Weakly Supervision Object detection." Academic Journal of Science and Technology 5, no. 3 (2023): 137–48. http://dx.doi.org/10.54097/ajst.v5i3.7806.

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In recent years, object detection has made great progress with the continuous development of deep neural network. At present, there are many different fully supervised object detection algorithms in the field of computer vision, which are basically saturated, while object detection in a weakly supervised manner is more challenging than strongly supervised object detection. Since nowadays mature object detection algorithms rely heavily on strongly labeled datasets, but strong labeled datasets are very expensive and require huge datasets to support in order to train a better object detection mod

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Sugianto, Raden Aris, Roslina Roslina, and Zakarias Situmorang. "Kombinasi Metode Simple Additive Weigthing dan Weigthed Product Untuk Seleksi Proposal Program Kreatifitas Mahasiswa." JURNAL MEDIA INFORMATIKA BUDIDARMA 5, no. 2 (2021): 564. http://dx.doi.org/10.30865/mib.v5i2.2929.

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This Research aims to develop a decision support system that can facilitate the proposal selection process and provide an alternative ranking for the selection results of student creativity program proposal selection. This decision support system uses a combination calculation of the Simple Additive Weighting and Weigthted Product methods, hereinafter referred to as Modified SAW. The criteria used in this assessment refer to the 2020 Student Creativity Program Guidebook. The data used in this decision support system uses proposal selection data in the Student Creativity Development Unit of Muh

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Ryu, Jeong-Tak. "Proposal of Psychotherapy System Using Facial Expression Recognition Method." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (2019): 953–58. http://dx.doi.org/10.5373/jardcs/v11sp12/20193299.

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Han, Guangxing, Shiyuan Huang, Jiawei Ma, Yicheng He, and Shih-Fu Chang. "Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (2022): 780–89. http://dx.doi.org/10.1609/aaai.v36i1.19959.

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Few-shot object detection (FSOD) aims to detect objects using only a few examples. How to adapt state-of-the-art object detectors to the few-shot domain remains challenging. Object proposal is a key ingredient in modern object detectors. However, the quality of proposals generated for few-shot classes using existing methods is far worse than that of many-shot classes, e.g., missing boxes for few-shot classes due to misclassification or inaccurate spatial locations with respect to true objects. To address the noisy proposal problem, we propose a novel meta-learning based FSOD model by jointly o

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Aprina Siregar, Martha Traci Simanjuntak, Melina Marbun, and Hendra Kurnia Pulungan. "Analisis Kemampuan Menulis Teks Proposal pada Siswa Sekolah Dasar 060875." Bhinneka: Jurnal Bintang Pendidikan dan Bahasa 2, no. 3 (2024): 39–49. http://dx.doi.org/10.59024/bhinneka.v2i3.834.

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This study aims to analyze the ability to write proposal texts for grade VI elementary school students. The ability to write proposals is one of the important skills for students to master, because proposal texts are often used in everyday life and in the world of work. The research method used is descriptive qualitative. Data were obtained through a proposal text writing test to fifth grade students of SD 060875. The results showed that most students still had difficulties in writing proposal texts. These difficulties include formulating the background, objectives, and activity plan. In addit

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Khair, Ummul. "Analisis Kesalahan Ejaan Yang Disempurnakan (EYD) Dalam Proposal Skripsi Mahasiswa." ESTETIK : Jurnal Bahasa Indonesia 1, no. 1 (2018): 31. http://dx.doi.org/10.29240/estetik.v1i1.508.

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This text study objective was to determine how much the level of student writing errors made in the use of written language in developing a thesis proposal. The method used in the research data penganalisissan this text is the text method , which collects a number of text samples, further reading and doing analyzing student writing done , and also uses descriptive method of analysis. As the results, 1) error writing uppercase (capital) in the student proposal STAIN Curup VIII semester of academic year 2012/2013 as many as 850 words, with a percentage of 40.59 %; 2) error writing spelling on st

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Ansori, Hidayah, Sutarto Hadi, Rizki Amalia, and Maulida Fitri. "Bimbingan Pembuatan Proposal PTK Bagi Guru Peserta MGMP Matematika Kota Banjarmasin." Bubungan Tinggi: Jurnal Pengabdian Masyarakat 2, no. 2 (2020): 110. http://dx.doi.org/10.20527/btjpm.v2i2.1791.

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Upaya untuk memperbaiki dan meningkatkan mutu proses belajar mengajar di kelas harus selalu dilakukan. Salah satu upaya tersebut ialah dengan melaksanakan Penelitian Tindakan Kelas (PTK). Oleh karena itu, perlu diadakan pelatihan untuk membimbing guru khususnya peserta MGMP (Musyawarah Guru Mata Pelajaran) Matematika SMA Kota Banjarmasin dalam pembuatan proposal PTK. Tujuan dari pengabdian ini adalah untuk memberikan pemahaman dan mengingat kembali tentang PTK. Subjek dalam pengabdian ini adalah Guru Matematika MGMP Matematika SMA Kota Banjarmasin. Metode yang digunakan yaitu menjelaskan kepad

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Gu, Xinyu, Qian Zhang, and Zheng Lu. "Weakly Supervised Object Detection with Symmetry Context." Symmetry 14, no. 9 (2022): 1832. http://dx.doi.org/10.3390/sym14091832.

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Recently, weakly supervised object detection (WSOD) with image-level annotation has attracted great attention in the field of computer vision. The problem is often formulated as multiple instance learning in the existing studies, which are often trapped by discriminative object parts and fail to localize the object boundary precisely. In this work, we alleviate this problem by exploiting contextual information that may potentially increase object localization accuracy. Specifically, we propose novel context proposal mining strategies and a Symmetry Context Module to leverage surrounding contex

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Kuswanto and Irzal Anderson. "Project Based Learning (PjBL) Model in Improving Students' Ability to Design Thesis Proposals." Jurnal Imiah Pendidikan dan Pembelajaran 8, no. 2 (2024): 244–53. https://doi.org/10.23887/jipp.v8i2.70056.

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Students' ability to prepare research proposals is the target of learning research methodology. Applying the Project Based Learning (PjBL) model in Research Methodology learning seeks to provide students with direct experience in preparing research proposals. This research aims to determine the effectiveness of implementing the PjBL model in improving students' abilities in preparing research proposals. This research was conducted using an experimental method: a Pretest-Posttest Control Group Design. The research subjects were 2 classes studying the research methodology course of the PPKn FKIP

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Meyer, X. "Adaptive Tree Proposals for Bayesian Phylogenetic Inference." Systematic Biology 70, no. 5 (2021): 1015–32. http://dx.doi.org/10.1093/sysbio/syab004.

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Abstract Bayesian inference of phylogeny with Markov chain Monte Carlo plays a key role in the study of evolution. Yet, this method still suffers from a practical challenge identified more than two decades ago: designing tree topology proposals that efficiently sample tree spaces. In this article, I introduce the concept of adaptive tree proposals for unrooted topologies, that is, tree proposals adapting to the posterior distribution as it is estimated. I use this concept to elaborate two adaptive variants of existing proposals and an adaptive proposal based on a novel design philosophy in whi

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Zhang, Ximing, Shujuan Luo, and Xuewu Fan. "Proposal-Based Visual Tracking Using Spatial Cascaded Transformed Region Proposal Network." Sensors 20, no. 17 (2020): 4810. http://dx.doi.org/10.3390/s20174810.

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Region proposal network (RPN) based trackers employ the classification and regression block to generate the proposals, the proposal that contains the highest similarity score is formulated to be the groundtruth candidate of next frame. However, region proposal network based trackers cannot make the best of the features from different convolutional layers, and the original loss function cannot alleviate the data imbalance issue of the training procedure. We propose the Spatial Cascaded Transformed RPN to combine the RPN and STN (spatial transformer network) together, in order to successfully ob

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Rhee, Dai-Yeon, and Dae Uk Jeon. "A Study on the Promotion of Resident Proposals in Gangwon-do." Center for Civic Politics Research 7 (December 31, 2023): 57–84. http://dx.doi.org/10.54968/civicpol.2023.7.57.

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This study addresses the activation of Gangwon Province's proposal system in response to the prevailing trend of participatory democracy. It focuses on enhancing accessibility to and increasing participation in the provincial proposal system among Gangwon residents. The purpose of the research is to derive institutional improvement measures for the activation of Gangwon Province's proposal system and formulate policy approaches to foster its activation. To achieve this, the study explores strategies to boost participation in Gangwon Province's proposal activities, investigates promotional meth

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Zeng, Li, Yu Huo, Xiaoliang Qian, and Zhiwu Chen. "High-Quality Instance Mining and Dynamic Label Assignment for Weakly Supervised Object Detection in Remote Sensing Images." Electronics 12, no. 13 (2023): 2758. http://dx.doi.org/10.3390/electronics12132758.

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Weakly supervised object detection (WSOD) in remote sensing images (RSIs) has attracted more and more attention because its training merely relies on image-level category labels, which significantly reduces the cost of manual annotation. With the exploration of WSOD, it has obtained many promising results. However, most of the WSOD methods still have two challenges. The first challenge is that the detection results of WSOD tend to locate the significant regions of the object but not the overall object. The second challenge is that the traditional pseudo-instance label assignment strategy canno

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Huang, Minyuan, Henry Leung, and Ming Hou. "3D Object Detection Using Multiple-Frame Proposal Features Fusion." Sensors 23, no. 22 (2023): 9162. http://dx.doi.org/10.3390/s23229162.

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Object detection is important in many applications, such as autonomous driving. While 2D images lack depth information and are sensitive to environmental conditions, 3D point clouds can provide accurate depth information and a more descriptive environment. However, sparsity is always a challenge in single-frame point cloud object detection. This paper introduces a two-stage proposal-based feature fusion method for object detection using multiple frames. The proposed method, called proposal features fusion (PFF), utilizes a cosine-similarity approach to associate proposals from multiple frames

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ONO, Toshiro, Tatsuya SHIMIZU, and Jianxin SUN. "Proposal of Improved Double Measuring Method." Transactions of the Society of Instrument and Control Engineers 27, no. 2 (1991): 224–26. http://dx.doi.org/10.9746/sicetr1965.27.224.

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TORIUMI, Fujio, Akira KOBAYASHI, Jun-ya TAKAYAMA, and Shinji OHYAMA. "Proposal of Sequential Paired Comparison Method." Transactions of the Society of Instrument and Control Engineers 43, no. 10 (2007): 839–46. http://dx.doi.org/10.9746/ve.sicetr1965.43.839.

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ISEKI, Daisuke, Yuki YASUMOTO, Shota AMABE, et al. "Proposal of M Method Application System." Proceedings of Design & Systems Conference 2016.26 (2016): 2121. http://dx.doi.org/10.1299/jsmedsd.2016.26.2121.

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Bisri, Hasan. "Tinjauan Filosofis tentang Epistemologi Usul Fikih Berbasis Metode Jama’i." Istinbath | Jurnal Penelitian Hukum Islam 15, no. 2 (2017): 135. http://dx.doi.org/10.36667/istinbath.v15i2.23.

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This article attempts to offer the jama’i method as one of the epistemologies of ushul fiqh. The offer is based on the idea that the fiqh proposal philosophically contains various views, at least from an epistemological point of view. The epistemology that develops in the intellectual journey of Muslims is not as simple as people imagine. In recent developments, it seems that the epistemology of the fiqh proposal has received little attention or even wants to be dumped on the grounds of fear of the destruction of the fiqh proposal itself; at least, it still gets a reasonably enthusiastic respo

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Wei, Chiu-Chi, Chih-Chien Tai, Shun-Chin Lee, and Meng-Ling Chang. "Assessing Knowledge Quality Using Fuzzy MCDM Model." Mathematics 11, no. 17 (2023): 3673. http://dx.doi.org/10.3390/math11173673.

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The purpose of knowledge management is to excavate the tacit knowledge accumulated by each enterprise member through the knowledge proposal system. Each knowledge proposal must be assessed, and after passing the quality assessment, the knowledge proposal will be stored in the knowledge repository and shared with other employees who need the knowledge at work. In the long run, the capabilities of all employees will gradually enhance and the competitiveness of enterprises will naturally increase. The correct assessment of knowledge quality is the key to the success of knowledge management. Some

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Zádorová, T., T. Chuman, and L. Šefrna. "Proposal for a method for Colluvisol delineation in Chernozem region." Soil and Water Research 3, No. 4 (2008): 215–22. http://dx.doi.org/10.17221/2091-swr.

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Erosion, which is one of the most important exogenous processes forming the landscape, has become a main degradation factor affecting agroecosystems. One of the direct erosion effects is a change in the soil cover structure. Colluvisols, originating in the material accumulated in depressions and foot part of slopes, represent a significant element in such a segmented soil mosaic. In the Chernozem loess area of Žď&aacute;nick&yacute; les, a method of areal delimitation of Colluvisols was proposed. Considering the homogeneity of the relative soil properties, the terrain morfometric chara

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Wahyunengsih, Wahyunengsih, and Avita Ayu Permana Sari. "RETORIKA PENDAHULUAN PROPOSAL PENELITIAN MAHASISWA JURUSAN BERBASIS AGAMA ISLAM DI UNIVERSITAS ISLAM NEGERI (UIN)." Jurnal Kommunity Online 2, no. 1 (2021): 11–20. http://dx.doi.org/10.15408/jko.v2i1.21888.

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AbstractThe introductory chapter takes substantial role in scientific writing. It contains the essence of the underlying study. It determines the novelty of the study. The subjects of this study are two thesis proposals of students majoring in Islamic Community Development (PMI) Syarif Hidayatullah State Islamic University Jakarta. The method used is descriptive. Text analysis is used to describe and provide an overview of the rhetorical structure of the introduction. This study is aimed to determine the suitability of student research proposals with the Research Justification Problem (MMP) an

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Dwi Yulianto, Lili, Windu Gata, Frieyadie, and Dedi Dwi Saputra. "Validasi Dokumen Pengajuan Penelitian dan Pengabdian Masyarakat Universitas Nasional Menggunakan Metode Finite State Automata." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 6, no. 4 (2022): 497–504. http://dx.doi.org/10.35870/jtik.v6i4.520.

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Non-Deterministic Finite Automata (NFA), a form of Finite State Automata (FSA), is one method for validating research proposal documents in R&D and community service activities at national universities. To carry out these activities, it is necessary to monitor the research proposal documents submitted by lecturers/researchers, one of which is to validate the research proposal document, ensuring that it follows the guidelines and avoids plagiarism, as well as the theme's suitability with the research proposal document's contents. Members of the research team can only participate in one type

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Lopes Amaral, Maria Augustin, Adrianus Ketmoen, Alfry Aristo J. Sinlae, Erly G. Boelan, Anselmus Boy Baunsele, and Paulus Adrianus K. L. Ratumakin. "Pelatihan Keuangan Bumdes: Penyusunan Proposal Usaha di Kecamatan Kupang Barat." JURNAL KREATIVITAS PENGABDIAN KEPADA MASYARAKAT (PKM) 5, no. 11 (2022): 3789–98. http://dx.doi.org/10.33024/jkpm.v5i11.7385.

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ABSTRAK Badan Usaha Milik Desa (BUMDes) dikategorikan menjadi usaha desa yang berpotensial untuk dikembangkan menjadi penggerak ekonomi desa. Sosialisasi cara menyusun proposal usaha pada kegiatan pelatihan bagi BUMDes dalam rangka kegiatan pengabdian masyarakat berniat untuk menambah pengetahuan dan keterampilan penyusunan proposal usaha. Kegiatan dilaksanakan di Kecamatan Kupang barat pada dua desa yaitu Desa Tablolong dan Desa Oenaek, pesertanya terdiri dari pengurus Badan Usaha Milik Desa (BUMDes), pemerintah desa, Badan Pengawas Desa, tokoh masyarakat, Unit Mikro Kecil Menengah (UMKM), da

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S .Vasanthakumari. "Writing research proposal." World Journal of Advanced Research and Reviews 10, no. 1 (2021): 184–90. http://dx.doi.org/10.30574/wjarr.2021.10.1.0138.

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A research proposal is a written document specifying what a researcher intends to study and written before beginning the research which communicate research problem and proposed methods of solving it. A research proposal should be built on a concrete plan to conduct academic or scientific research. Types of proposals include internal, external, solicited, unsolicited, preproposals, continuation or non-competing and renewal or competing. Purpose of a Research Proposal is to convince the organization and readers .Characteristics need to be based on attention, interest, desire and action. Qualiti

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S, .Vasanthakumari. "Writing research proposal." World Journal of Advanced Research and Reviews 10, no. 1 (2021): 184–90. https://doi.org/10.5281/zenodo.4733615.

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A research proposal is a written document specifying what a researcher intends to study and written before beginning the research which communicate research problem and proposed methods of solving it. A research proposal should be built on a concrete plan to conduct academic or scientific research. Types of proposals include internal, external, solicited, unsolicited, preproposals, continuation or non-competing and renewal or competing. Purpose of a Research Proposal is to convince the organization and readers .Characteristics need to be based on attention, interest, desire and action. Qualiti

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Saitoh S., Takeo, Makoto Nakamura, and Tatsuhiko Gomi. "Proposal of Super Time-Saving Method: Time-Space Method." Transactions of the Japan Society of Mechanical Engineers Series B 60, no. 570 (1994): 515–22. http://dx.doi.org/10.1299/kikaib.60.515.

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Lin, Zhijie, Zhou Zhao, Zhu Zhang, Qi Wang, and Huasheng Liu. "Weakly-Supervised Video Moment Retrieval via Semantic Completion Network." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 11539–46. http://dx.doi.org/10.1609/aaai.v34i07.6820.

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Video moment retrieval is to search the moment that is most relevant to the given natural language query. Existing methods are mostly trained in a fully-supervised setting, which requires the full annotations of temporal boundary for each query. However, manually labeling the annotations is actually time-consuming and expensive. In this paper, we propose a novel weakly-supervised moment retrieval framework requiring only coarse video-level annotations for training. Specifically, we devise a proposal generation module that aggregates the context information to generate and score all candidate p

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Kurniawan, Edi, Khairul Imtihan, and Ahmad Tantoni. "Penerapan Model Scrum dalam Perancangan Sistem Informasi Penelitian dan Pengabdian Kepada Masyarakat." J-Com (Journal of Computer) 1, no. 1 (2021): 33–42. http://dx.doi.org/10.33330/j-com.v1i1.1084.

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Abstract:Application of the Scrum model in the design of research and community service information systems (Case study at STMIK Lombok), the Institute for Research and Community Service (LPPM) is an activity unit that functions to manage all research and community service activities carried out by lecturers in connection with the lecturer improving the quality of the lecturer. The formulation of the problem is how to design and build a research and community service information system so as to facilitate the process of submitting proposals, accepting, selecting, reviewing, approving, controll

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Gross, Rainer, Darwin Karyadi, Soemilah Sastroamidjojo, and Werner Schultink. "Guidelines for the Development of Research Proposals following a Structured, Holistic Approach for a Research Proposal (SHARP)." Food and Nutrition Bulletin 19, no. 3 (1998): 268–82. http://dx.doi.org/10.1177/156482659801900308.

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SHARP (a Structured, Holistic Approach for a Research Proposal) is a structured method for developing a research proposal that can be used either by individuals or by teams of researchers. The eight steps in SHARP are (1) setting up a causal model, (2) establishing a fact–hypothesis matrix (FaHM), (3) developing a variable–indicator–method matrix (VIM), (4) selecting the study design, (5) defining the sampling procedure and calculating the sample size, (6) selecting the statistical methods, (7) considering the ethical aspects, and (8) setting up an operational plan. The objectives of the resea

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Copestake, James, Gary Goertz, and Stephan Haggard. "Lost in Translation: A Reprise on the Veil of Ignorance Process Tracing Method." Qualitative & Multi-Method Research 18, no. 2 (2021): 47–54. https://doi.org/10.5281/zenodo.4046688.

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To say that our modest proposal for Veil of ignorance Process Tracing (VPT) did not get much support amongst this prominent group is an understatement. Nonetheless, the symposium raises important questions about the current state of process-tracing methodology that still need to be addressed. Moreover, it suggests there are competing proposals for handling the issues we have raised, including the Bayesian vision outlined with great clarity by Fairfield. We focus on the four questions we consider most important: (1) the role of causal mechanisms and the causal claims that constitute mechanisms

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Veronika, Rahel, Fitriani Lubis, Nurlia Aprianti, Daniel Sanggam, Dafa Ariza, and Dwi Nabila. "Analisis Penerapan Tes UKBI Terhadap Kemampuan Mahasiswa Menulis Proposal Penelitian dan Proposal Kegiatan." Journal of Language Education (JoLE) 1, no. 3 (2023): 103–10. http://dx.doi.org/10.69820/jole.v1i3.81.

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Penelitian ini dilakukan untuk memahami bagaimana kemampuan mahasiswa dalam menulis proposal penelitian dan proposal kegiatan yang baik dan berkualitas. Teknik analisis data yang digunakan adalah teknik analisis deskriptif. Metode pengumpulan data yang digunakan untuk penelitian ini adalah pembagian kuesioner kepada Mahasiswa di berbagai Univesitas di Indonesia dengan populasi terdiri dari 23 Responden serta dengan melakukan penelusuran ilmiah dengan studi kepustakaan. Tes UKBI menjadi sarana objektif untuk mengevaluasi tingkat penguasaan bahasa, termasuk aspek ejaan dan tata bahasa. Partisipa

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