Search Results - Algorithms|analysis of algorithms General Terms

Sentiment Analysis of the 2024 General Election Through Twitter using Long-Short-Term Memory Algorithm by W, Angga Wahyu, Andana, Haidar Hilmy, Zeniarja, Junta, Febriyanto, Aris

“…This study analyses sentiment related to the 2024 Indonesian Presidential Election using the Long Short-Term Memory (LSTM) algorithm…”
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Modelling Kara Sea phytoplankton primary production: Development and skill assessment of regional algorithms by Demidov, Andrey B., Kopelevich, Oleg V., Mosharov, Sergey A., Sheberstov, Sergey V., Vazyulya, Svetlana V.

“… (NRSM) in terms of regression analysis, root-mean-square difference (RMSD) and model efficiency…”
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A comparative analysis of gradient boosting algorithms by Bentéjac, Candice, Csörgő, Anna, Martínez-Muñoz, Gonzalo

“… This work proposes a practical analysis of how these novel variants of gradient boosting work in terms of training speed, generalization performance and hyper-parameter setup…”
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An objective comparison of cell-tracking algorithms by Ulman, Vladimír, Maška, Martin, Magnusson, Klas E G, Ronneberger, Olaf, Haubold, Carsten, Harder, Nathalie, Matula, Pavel, Matula, Petr, Svoboda, David, Radojevic, Miroslav, Smal, Ihor, Rohr, Karl, Jaldén, Joakim, Blau, Helen M, Dzyubachyk, Oleh, Lelieveldt, Boudewijn, Xiao, Pengdong, Li, Yuexiang, Cho, Siu-Yeung, Dufour, Alexandre C, Olivo-Marin, Jean-Christophe, Reyes-Aldasoro, Constantino C, Solis-Lemus, Jose A, Bensch, Robert, Brox, Thomas, Stegmaier, Johannes, Mikut, Ralf, Wolf, Steffen, Hamprecht, Fred A, Esteves, Tiago, Quelhas, Pedro, Demirel, Ömer, Malmström, Lars, Jug, Florian, Tomancak, Pavel, Meijering, Erik, Muñoz-Barrutia, Arrate, Kozubek, Michal, Ortiz-de-Solorzano, Carlos

“…This analysis describes the results of three Cell Tracking Challenge editions for examining the performance of cell segmentation and tracking algorithms and provides practical feedback for users and developers…”
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Clustering algorithms: A comparative approach by Rodriguez, Mayra Z., Comin, Cesar H., Casanova, Dalcimar, Bruno, Odemir M., Amancio, Diego R., Costa, Luciano da F., Rodrigues, Francisco A.

“…Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding…”
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Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-$(L_r,L_r,1)$ Terms, and a New Generalization by Sorber, Laurent, Van Barel, Marc, De Lathauwer, Lieven

“… Among these algorithms are alternating least squares schemes, several general unconstrained optimization techniques, and matrix-free nonlinear least squares methods…”
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Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting by Rahimzad, Maryam, Moghaddam Nia, Alireza, Zolfonoon, Hosam, Soltani, Jaber, Danandeh Mehr, Ali, Kwon, Hyun-Han

“…), Multilayer Perceptron (MLP), Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) network in daily streamflow forecasting…”
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Hamiltonian simulation algorithms for near-term quantum hardware by Clinton, Laura, Bausch, Johannes, Cubitt, Toby

“…The quantum circuit model is the de-facto way of designing quantum algorithms. Yet any level of abstraction away from the underlying hardware incurs overhead…”
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Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms by Kennedy, Robert E., Yang, Zhiqiang, Cohen, Warren B.

“…). The method brings together two themes in time-series analysis of LTS: capture of short-duration events and smoothing of long-term trends…”
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Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management by Latif, Sarmad Dashti, Ahmed, Ali Najah

“… Long short-term memory (LSTM) has been applied as a deep learning algorithm and boosted regression tree (BRT…”
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Classical boson sampling algorithms with superior performance to near-term experiments by Neville, Alex, Sparrow, Chris, Clifford, Raphaël, Johnston, Eric, Birchall, Patrick M., Montanaro, Ashley, Laing, Anthony

“…A classical algorithm solves the boson sampling problem for 30 bosons with standard computing hardware, suggesting that a much larger experimental effort will be needed to reach a regime where quantum…”
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An algorithm for determining the rotation count of pulsars by Freire, Paulo C C, Ridolfi, Alessandro

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Comprehensive survey on hierarchical clustering algorithms and the recent developments by Ran, Xingcheng, Xi, Yue, Lu, Yonggang, Wang, Xiangwen, Lu, Zhenyu

“…Data clustering is a commonly used data processing technique in many fields, which divides objects into different clusters in terms of some similarity measure between data points…”
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Assessment of long-term mangrove distribution using optimised machine learning algorithms and landscape pattern analysis by Bindajam, Ahmed Ali, Mallick, Javed, Talukdar, Swapan, Shohan, Ahmed Ali A., Alshayeb, Mohammed J.

“… In this study, an advanced machine learning algorithm was proposed to produce an accurate and precise high-resolution land use map that includes mangroves in the Al Wajh Bank habitat in northeastern Saudi Arabia…”
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GHOSTX: An Improved Sequence Homology Search Algorithm Using a Query Suffix Array and a Database Suffix Array by Suzuki, Shuji, Kakuta, Masanori, Ishida, Takashi, Akiyama, Yutaka

“… However, huge amounts of sequence data create the problem that even general homology search analyses using BLASTX become difficult in terms of computational cost…”
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Short to Long-Term Forecasting of River Flows by Heuristic Optimization Algorithms Hybridized with ANFIS by Riahi-Madvar, Hossien, Dehghani, Majid, Memarzadeh, Rasoul, Gharabaghi, Bahram

“…Accurate forecast of short-term to long-term streamflow prediction is of great importance for water resources management…”
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Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data by Deng, Fei, Huang, Jibing, Yuan, Xiaoling, Cheng, Chao, Zhang, Lanjing

“… Recently, their sample sizes have grown significantly. Rigorous analyses on these large datasets demand considerably more efficient and more accurate algorithms. Machine learning (ML…”
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Educational data mining: prediction of students' academic performance using machine learning algorithms by Yagci, Mustafa

“… This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data…”
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Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level by Sheikh Khozani, Zohreh, Barzegari Banadkooki, Fatemeh, Ehteram, Mohammad, Najah Ahmed, Ali, El-Shafie, Ahmed

“… This article introduces a new hybrid model, namely the ARIMA-Long Short-Term Memory (LSTM) neural network, to capture the linear and non-linear components of a GWL time series in the Yazd-Ardekn Plain in Iran…”
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Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review by Kaveh, Mehrdad, Mesgari, Mohammad Saadi

“…) algorithms has been considerably raised. MH algorithms can accurately formulate the optimal estimation of DL components…”
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