Search Results - "Applied intelligence (Dordrecht, Netherlands)"

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices by Ahuja, Sakshi, Panigrahi, Bijaya Ketan, Dey, Nilanjan, Rajinikanth, Venkatesan, Gandhi, Tapan Kumar

“…Lung abnormality is one of the common diseases in humans of all age group and this disease may arise due to various reasons. Recently, the lung infection due…”
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Image super-resolution reconstruction based on feature map attention mechanism by Chen, Yuantao, Liu, Linwu, Phonevilay, Volachith, Gu, Ke, Xia, Runlong, Xie, Jingbo, Zhang, Qian, Yang, Kai

“…To improve the issue of low-frequency and high-frequency components from feature maps being treated equally in existing image super-resolution reconstruction…”
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RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring by Sun, Wei, Dai, Liang, Zhang, Xiaorui, Chang, Pengshuai, He, Xiaozheng

“…The prevailing applications of Unmanned Aerial Vehicles (UAVs) in transportation systems promote the development of object detection methods to collect…”
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K-means properties on six clustering benchmark datasets by Fränti, Pasi, Sieranoja, Sami

“…This paper has two contributions. First, we introduce a clustering basic benchmark. Second, we study the performance of k-means using this benchmark…”
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A comprehensive survey on feature selection in the various fields of machine learning by Dhal, Pradip, Azad, Chandrashekhar

“…In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing data’s dimensionality and enhancing any proposed framework’s performance…”
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Hybrid clustering analysis using improved krill herd algorithm by Abualigah, Laith Mohammad, Khader, Ahamad Tajudin, Hanandeh, Essam Said

“…In this paper, a novel text clustering method, improved krill herd algorithm with a hybrid function, called MMKHA, is proposed as an efficient clustering way…”
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A review of cooperative multi-agent deep reinforcement learning by Oroojlooy, Afshin, Hajinezhad, Davood

“…Deep Reinforcement Learning has made significant progress in multi-agent systems in recent years. The aim of this review article is to provide an overview of…”
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Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems by Zhao, Shijie, Zhang, Tianran, Ma, Shilin, Wang, Mengchen

“…This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse optimizer (SHO), which is inspired by the movement, predation and…”
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Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems by Mirjalili, Seyedali, Jangir, Pradeep, Saremi, Shahrzad

“…This paper proposes a multi-objective version of the recently proposed Ant Lion Optimizer (ALO) called Multi-Objective Ant Lion Optimizer (MOALO). A repository…”
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The geometry of three-way decision by Yao, Yiyu

“…A theory of three-way decision concerns the art, science, and practice of thinking, problem solving, and information processing in threes. It explores the…”
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Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward by Masood, Momina, Nawaz, Mariam, Malik, Khalid Mahmood, Javed, Ali, Irtaza, Aun, Malik, Hafiz

“…Easy access to audio-visual content on social media, combined with the availability of modern tools such as Tensorflow or Keras, and open-source trained…”
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A. M., Idris, Norisma, Aljarah, Ibrahim

“…To help individuals or companies make a systematic and more accurate decisions, sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA,…”
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How effective is the Grey Wolf optimizer in training multi-layer perceptrons by Mirjalili, Seyedali

“…This paper employs the recently proposed Grey Wolf Optimizer (GWO) for training Multi-Layer Perceptron (MLP) for the first time. Eight standard datasets…”
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SA-FPN: An effective feature pyramid network for crowded human detection by Zhou, Xinxin, Zhang, Long

“…The crowded scenario not only contains instances at various scales but also introduces a variety of occlusion patterns ranging from non-occluded situations to…”
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COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization by Zebin, Tahmina, Rezvy, Shahadate

“…Chest X-rays are playing an important role in the testing and diagnosis of COVID-19 disease in the recent pandemic. However, due to the limited amount of…”
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Deep reinforcement learning for imbalanced classification by Lin, Enlu, Chen, Qiong, Qi, Xiaoming

“…Data in real-world application often exhibit skewed class distribution which poses an intense challenge for machine learning. Conventional classification…”
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GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction by Chen, Jinyin, Wang, Xueke, Xu, Xuanheng

“…Dynamic network link prediction is becoming a hot topic in network science, due to its wide applications in biology, sociology, economy and industry. However,…”
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Confidence interval for micro-averaged F 1 and macro-averaged F 1 scores by Takahashi, Kanae, Yamamoto, Kouji, Kuchiba, Aya, Koyama, Tatsuki

“…A binary classification problem is common in medical field, and we often use sensitivity, specificity, accuracy, negative and positive predictive values as…”
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Temperate fish detection and classification: a deep learning based approach by Knausgård, Kristian Muri, Wiklund, Arne, Sørdalen, Tonje Knutsen, Halvorsen, Kim Tallaksen, Kleiven, Alf Ring, Jiao, Lei, Goodwin, Morten

“…A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to…”
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Transient search optimization: a new meta-heuristic optimization algorithm by Qais, Mohammed H., Hasanien, Hany M., Alghuwainem, Saad

“…This article offers a new physical-based meta-heuristic optimization algorithm, which is named Transient Search Optimization (TSO) algorithm. This algorithm is…”
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