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$$\chi$$ -linguistic sets and its application for the linguistic multi-attribute group decision making Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-15 Sidong Xian, Mengnan Liu, Zhiyu Xian, Jiahui Chai, Sicong Lu, Ke Qing
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Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-15 Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Mingming Leng, Baiying Lei
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Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-14 Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed
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Unraveling the mysteries of AI chatbots Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-13 Raj Bridgelall
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Reinforcement learning applications in environmental sustainability: a review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-12 Maddalena Zuccotto, Alberto Castellini, Davide La Torre, Lapo Mola, Alessandro Farinelli
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A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-12 Sanjay Kumar, Deepmala Sharma
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From understanding diseases to drug design: can artificial intelligence bridge the gap? Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-11 Anju Choorakottayil Pushkaran, Alya A. Arabi
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New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-09 Salim Heddam, Ahmed M. Al-Areeq, Mou Leong Tan, Iman Ahmadianfar, Bijay Halder, Vahdettin Demir, Huseyin Cagan Kilinc, Sani I. Abba, Atheer Y. Oudah, Zaher Mundher Yaseen
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A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-09 Caio Ribeiro, Alex A. Freitas
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3D point cloud-based place recognition: a survey Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-07
Abstract Place recognition is a fundamental topic in computer vision and robotics. It plays a crucial role in simultaneous localization and mapping (SLAM) systems to retrieve scenes from maps and identify previously visited places to correct cumulative errors. Place recognition has long been performed with images, and multiple survey papers exist that analyze image-based methods. Recently, 3D point
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Resampling strategies for imbalanced regression: a survey and empirical analysis Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-04
Abstract Imbalanced problems can arise in different real-world situations, and to address this, certain strategies in the form of resampling or balancing algorithms are proposed. This issue has largely been studied in the context of classification, and yet, the same problem features in regression tasks, where target values are continuous. This work presents an extensive experimental study comprising
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An evidential linguistic ELECTRE method for selection of emergency shelter sites Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-01 Liguo Fei, Xiaoyu Liu, Changping Zhang
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Multi-level textual-visual alignment and fusion network for multimodal aspect-based sentiment analysis Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-01
Abstract Multimodal Aspect-Based Sentiment Analysis (MABSA) is an essential task in sentiment analysis that has garnered considerable attention in recent years. Typical approaches in MABSA often utilize cross-modal Transformers to capture interactions between textual and visual modalities. However, bridging the semantic gap between modalities spaces and addressing interference from irrelevant visual
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Spline magnitude disparity cross correlated deep network for gait recognition Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-01
Abstract Gait recognition stands as a pivotal biometric technology in individual identification, yet its real-world implementation faces challenges stemming from intra-subject disparities. The task of extracting consistent features to distinguish among various subjects becomes onerous due to factors such as image noise and magnitude divergence, significantly impacting recognition accuracy. In addressing
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Cost-sensitive learning for imbalanced medical data: a review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-03-01
Abstract Integrating Machine Learning (ML) in medicine has unlocked many opportunities to harness complex medical data, enhancing patient outcomes and advancing the field. However, the inherent imbalanced distribution of medical data poses a significant challenge, resulting in biased ML models that perform poorly on minority classes. Mitigating the impact of class imbalance has prompted researchers
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Topological deep learning: a review of an emerging paradigm Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-29 Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric Stone, Lars Petersson
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Environmental, social, and governance (ESG) and artificial intelligence in finance: State-of-the-art and research takeaways Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-28 Tristan Lim
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Mitigating the curse of dimensionality using feature projection techniques on electroencephalography datasets: an empirical review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-26 Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
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An integrated multi-polar fuzzy N-soft preference ranking organization method for enrichment of evaluations of the digitization of global economy Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-23 Muhammad Akram, Maheen Sultan, Muhammet Deveci
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What can machine vision do for lymphatic histopathology image analysis: a comprehensive review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-23 Haoyuan Chen, Xiaoqi Li, Chen Li, Md. Mamunur Rahaman, Xintong Li, Jian Wu, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li
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An efficient starling murmuration-based secure web service model for smart city application using DBN Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-23 Adlin Sheeba, S. Nikkath Bushra, S. Rajarajeswari, C. A. Subasini
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Understanding upper-limb movements via neurocomputational models of the sensorimotor system and neurorobotics: where we stand Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-23
Abstract Roboticists and neuroscientists are interested in understanding and reproducing the neural and cognitive mechanisms behind the human ability to interact with unknown and changing environments as well as to learn and execute fine movements. In this paper, we review the system-level neurocomputational models of the human motor system, and we focus on biomimetic models simulating the functional
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"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach" Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-19
Abstract Social media is used to categorise products or services, but analysing vast comments is time-consuming. Researchers use sentiment analysis via natural language processing, evaluating methods and results conventionally through literature reviews and assessments. However, our approach diverges by offering a thorough analytical perspective with critical analysis, research findings, identified
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A novel generalized similarity measure under intuitionistic fuzzy environment and its applications to criminal investigation Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-22
Abstract In our contemporary world, where crime prevails, the expeditious conduct of criminal investigations stands as an essential pillar of law and order. However, these inquiries often grapple with intricate complexities, particularly uncertainties stemming from the scarcity of reliable evidence, which can significantly hinder progress. To surmount these challenges, the invaluable tools of crime
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Categorization and correlational analysis of quality factors influencing citation Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-22 Asma Khatoon, Ali Daud, Tehmina Amjad
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Artificial intelligent Global Online Learning (GOL) theory by generalized n-ary fuzzy relation Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-21 Abbas Amini, Narjes Firouzkouhi, Marziyeh Nazari, Nader Ghareeb, Chun Cheng, Bijan Davvaz
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Fashion intelligence in the Metaverse: promise and future prospects Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-20 Xiangyu Mu, Haijun Zhang, Jianyang Shi, Jie Hou, Jianghong Ma, Yimin Yang
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Unlabeled learning algorithms and operations: overview and future trends in defense sector Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-20 Eduardo e Oliveira, Marco Rodrigues, João Paulo Pereira, António M. Lopes, Ivana Ilic Mestric, Sandro Bjelogrlic
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Deepfakes: current and future trends Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-19 Ángel Fernández Gambín, Anis Yazidi, Athanasios Vasilakos, Hårek Haugerud, Youcef Djenouri
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Deep learning for survival analysis: a review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-19 Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender
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Feature selection of microarray data using multidimensional graph neural network and supernode hierarchical clustering Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-19 Weidong Xie, Shoujia Zhang, Linjie Wang, Kun Yu, Wei Li
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Machine learning methods for service placement: a systematic review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-17 Parviz Keshavarz Haddadha, Mohammad Hossein Rezvani, Mahdi MollaMotalebi, Achyut Shankar
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A novel metaheuristic inspired by horned lizard defense tactics Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-16 Hernán Peraza-Vázquez, Adrián Peña-Delgado, Marco Merino-Treviño, Ana Beatriz Morales-Cepeda, Neha Sinha
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Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-16 Min Kong, Peng Wu, Yajing Zhang, Weizhong Wang, Muhammet Deveci, Seifedine Kadry
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The application of AI techniques in requirements classification: a systematic mapping Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-15 Kamaljit Kaur, Parminder Kaur
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Milestones in speaker recognition Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-15 R. Sharma, D. Govind, J. Mishra, A. K. Dubey, K. T. Deepak, S. R. M. Prasanna
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Improved honey badger algorithm based on elementary function density factors and mathematical spirals in polar coordinate systema Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-15
Abstract The Honey Badger Algorithm (HBA) is a new swarm intelligence optimization algorithm by simulating the foraging behavior of honey badgers in nature. To further improve its convergence speed and convergence accuracy, an improved HBA based on the density factors with the elementary functions and the mathematical spirals in the polar coordinate system was proposed. The algorithm proposes six density
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A survey of smart dustbin systems using the IoT and deep learning Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-15
Abstract With massive population growth and a shift in the urban culture in smart cities, the constant generation of waste continues to create unsanitary living conditions for city dwellers. Overflowing solid waste in the garbage and the rapid generation of non-degradable solid waste produce a slew of infectious illnesses that proliferate throughout the ecosystem. Conventional solid waste management
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Automatic fruit picking technology: a comprehensive review of research advances Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-14 Jun Zhang, Ningbo Kang, Qianjin Qu, Lianghuan Zhou, Hongbo Zhang
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Deep learning for cancer cell detection: do we need dedicated models? Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-14 Michal Karol, Martin Tabakov, Urszula Markowska-Kaczmar, Lukasz Fulawka
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Disinformation detection using graph neural networks: a survey Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-14
Abstract The creation and propagation of disinformation on social media is a growing concern. The widespread dissemination of disinformation can have destructive effects on people’s attitudes and behavior. So, it is essential to detect disinformation as soon as possible. Therefore, the interest in effective detection techniques has grown rapidly in recent years. Major social media and social networking
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Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-13 Priyadarsini Samal, Mohammad Farukh Hashmi
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Gene selection for high dimensional biological datasets using hybrid island binary artificial bee colony with chaos game optimization Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-13 Maha Nssibi, Ghaith Manita, Amit Chhabra, Seyedali Mirjalili, Ouajdi Korbaa
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A review on graph neural networks for predicting synergistic drug combinations Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-13 Milad Besharatifard, Fatemeh Vafaee
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Semi-supervised attribute reduction for hybrid data Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-12 Zhaowen Li, Jiali He, Pei Wang, Ching-Feng Wen
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Deep learning for thyroid nodule examination: a technical review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-12 Debottama Das, M. Sriram Iyengar, Mohammad S. Majdi, Jeffrey J. Rodriguez, Mahmoud Alsayed
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Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-12 Marijana Pavlov-Kagadejev, Luka Jovanovic, Nebojsa Bacanin, Muhammet Deveci, Miodrag Zivkovic, Milan Tuba, Ivana Strumberger, Witold Pedrycz
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Elk herd optimizer: a novel nature-inspired metaheuristic algorithm Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-12 Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Malik Shehadeh Braik, Sharif Makhadmeh, Iyad Abu Doush
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A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-09 Wuhuan Xu, Zhong Yao, Jun Wang, Yuan Xu
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Modeling and prediction of business success: a survey Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-09 Divya Gangwani, Xingquan Zhu
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Variational autoencoders for 3D data processing Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-08 Szilárd Molnár, Levente Tamás
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Graph neural networks: a survey on the links between privacy and security Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-08 Faqian Guan, Tianqing Zhu, Wanlei Zhou, Kim-Kwang Raymond Choo
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Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-08 Jaehoon Chung, Jamil Fayyad, Younes Al Younes, Homayoun Najjaran
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Automatic program bug fixing by focusing on finding the shortest sequence of changes Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-07 Leila Yousofvand, Seyfollah Soleimani, Vahid Rafe, Sajad Esfandyari
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Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-06
Abstract Enhancing decision-making under risks is crucial in various fields, and three-way decision (3WD) methods have been extensively utilized and proven to be effective in numerous scenarios. However, traditional methods may not be sufficient when addressing intricate decision-making scenarios characterized by uncertain and ambiguous information. In response to this challenge, the generalized intuitionistic
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Artificial intelligence powered Metaverse: analysis, challenges and future perspectives Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-05 Mona M. Soliman, Eman Ahmed, Ashraf Darwish, Aboul Ella Hassanien
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Moderately supervised learning: definition, framework and generality Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-05 Yongquan Yang
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Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-05
Abstract Urbanization increases electricity demand due to population growth and economic activity. To meet consumer’s demands at all times, it is necessary to predict the future building energy consumption. Power Engineers could exploit the enormous amount of energy-related data from smart meters to plan power sector expansion. Researchers have made many experiments to address the supply and demand
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An efficient multimodal sentiment analysis in social media using hybrid optimal multi-scale residual attention network Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-05
Abstract Sentiment analysis is a key component of many social media analysis projects. Additionally, prior research has concentrated on a single modality in particular, such as text descriptions for visual information. In contrast to standard image databases, social images frequently connect to one another, making sentiment analysis challenging. The majority of methods now in use consider different
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Autoencoders and their applications in machine learning: a survey Artif. Intell. Rev. (IF 12.0) Pub Date : 2024-02-03 Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, Yuefeng Li, Yue Xu