Research progress of digital image forensic techniques based on deep learning by Tong QIAO, Hongwei YAO, Binmin PAN, Ming XU, Yanli CHEN

“…In the new era of rapid development of internet, where massive forgery images with updated tampering techniques flood into, traditional algorithms are no longer able to deal with the latest multimedia tampering techniques, especially those caused by Deepfake and deep learning techniques.Thus, a universal framework for image forensics including image pre-processing module, feature extraction module and post-processing module designed for specific classification were proposed creatively.Accordingly, the state-of-the-art algorithms were reviewed，and meanwhile the main strength and limitations of current algorithms were generalized.More importantly, the future studies were also listed for advancing the development of digital image forensics.…”
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Generative Target Tracking Method with Improved Generative Adversarial Network by Yongping Yang, Hongshun Chen

“…The experimental results under OTB2015 and IVOT2018 datasets demonstrate that the proposed multitarget tracking algorithm has high accuracy and robustness, with 65% less jumps and 0.25% more accuracy than the current algorithms with minimal identity exchange and jumps.…”
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Discriminant Phase Component for Face Recognition by Naser Zaeri

“…Numerous face recognition techniques have been developed owing to the growing number of real-world applications. Most of current algorithms for face recognition involve considerable amount of computations and hence they cannot be used on devices constrained with limited speed and memory. …”
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ML‐UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper by Warren G. Hill, Bryce MacIver, Gary A. Churchill, Mariana G. DeOliveira, Mark L. Zeidel, Marcelo Cicconet

“…The overwhelming advantage it offers over current algorithms will be to allow individual labs to fine‐tune the model on their specific images regardless of the image characteristics. …”
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Enhanced electric vehicle battery management system employing bat algorithm with chaotic diversification strategies by Batchu Veena Vani, Dharavath Kishan, Md Waseem Ahmad, Ch. Rama Prakasha Reddy

“…The results show that the suggested approach outperforms the current algorithms in terms of rotation speed and good solution. …”
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Early behavioral indicators of aberrant feces in newly-weaned piglets by Vivian L. Witjes, Fleur Veldkamp, Francisca C. Velkers, Ingrid C. de Jong, Ellen Meijer, Johanna M. J. Rebel, Jan A. Stegeman, Tijs J. Tobias

“…Further development of current algorithms that can identify behavioral abnormalities in groups, from the pen to the individual level, may therefore be a promising avenue for improved and targeted health and welfare monitoring.…”
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TS-WRSVM: twin structural weighted relaxed support vector machine by Fatemeh Sheykh Mohammadi, Ali Amiri

“…Results of experiments indicate that a TS-WRSVM is superior to other current algorithms based on cost-sensitive learning in the areas of classification accuracy and computational time.…”
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N2GNet tracks gait performance from subthalamic neural signals in Parkinson’s disease by Jin Woo Choi, Chuyi Cui, Kevin B. Wilkins, Helen M. Bronte-Stewart

“…Abstract Adaptive deep brain stimulation (DBS) provides individualized therapy for people with Parkinson’s disease (PWP) by adjusting the stimulation in real-time using neural signals that reflect their motor state. Current algorithms, however, utilize condensed and manually selected neural features which may result in a less robust and biased therapy. …”
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A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation by Wencong Wang, Baoduo Su, Quan Zhou, Qinghua Su

“…Meta-heuristic algorithms are the dominant techniques for parameter estimating for solar photovoltaic (PV) models. Current algorithms are primarily designed with a focus on search performance and convergence speed, but they fail to account for the significant difference in the lengths of the feasible regions for each decision variable in the solar parameter estimation problem. …”
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EMS-SLAM: Dynamic RGB-D SLAM with Semantic-Geometric Constraints for GNSS-Denied Environments by Jinlong Fan, Yipeng Ning, Jian Wang, Xiang Jia, Dashuai Chai, Xiqi Wang, Ying Xu

“…The results demonstrate that our method outperformed the current algorithms of SLAM in highly dynamic environments.…”
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Medications for Managing Central Neuropathic Pain as a Result of Underlying Conditions—A Systematic Review by Bjarke Kaae Houlind, Henrik Boye Jensen

“…The aim of this systematic review was to compare the current algorithmic treatment of CNP, which generally does not discriminate among underlying conditions, with RCTs investigating algorithm-recommended and non-algorithm-recommended drugs for differing underlying conditions. …”
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Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs by Sergio Muñoz-Tapasco, Andrés F. Calvo-Salcedo, Jose A. Jaramillo-Villegas

“…Spectrum allocation methods, such as the Routing, Modulation Level, and Spectrum Assignment (RMLSA) approach, play a crucial role in executing this strategy efficiently. While current algorithms have improved allocation efficiency, further development is necessary to optimize network performance. …”
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Network Dismantling on Signed Network by Evolutionary Deep Reinforcement Learning by Yuxuan Ou, Fujing Xiong, Hairong Zhang, Huijia Li

“…However, almost all current algorithms focus on unsigned networks, and few studies explore the problem of signed network dismantling due to its complexity and lack of data. …”
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Optimal Anisotropic Guided Filtering in retinal fundus imaging: A dual approach to enhancement and segmentation. by G Tirumala Vasu, Samreen Fiza, Subba Rao Polamuri, K Reddy Madhavi, Thejaswini R, Venkataramana Guntreddi

“…Quantitative and qualitative assessments prove that the OAGF-enhancement and segmentation methodology surpasses current algorithms with better values in Dice Coefficient (0.860, 0.854), Precision (0.845, 0.834), and F1 Score (0.827, 0.817) on both databases.…”
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Predicting Affinity Through Homology (PATH): Interpretable binding affinity prediction with persistent homology. by Yuxi Long, Bruce R Donald

“…Based on insights from PATH+, we built PATH-, a scoring function for differentiating between binders and non-binders that has outstanding accuracy against 11 current algorithms for BAP. In summary, we report progress in a novel combination of interpretability, speed, and accuracy that should further empower topological screening of large virtual inhibitor libraries to protein targets, and allow binding affinity predictions to be understood and trusted. …”
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Multiview stereo reconstruction of UAV remote sensing images based on adaptive propagation with multiregional refinement by Haohai Fu, Zixuan Nie, Xin Pan

“…Abstract Based on computer vision and image processing technologies, 3D reconstruction of ground or building targets can be achieved from drone images. However, current algorithms still have significant room for improvement in dense reconstruction of weak-textured areas. …”
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Computerized Adaptive Testing Framework Based on Excitation Block and Gumbel-Softmax by Chengsong Liu, Yan Wei

“…The selection algorithm is pivotal in CAT. The current algorithms inadequately consider the impact of knowledge concept weights in question and student potential factors (e.g., memory) on question selection. …”
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YOLO-Helmet: A Novel Algorithm for Detecting Dense Small Safety Helmets in Construction Scenes by Guoliang Yang, Xinfang Hong, Yangyang Sheng, Liuyan Sun

“…Safety helmet wearing is an effective measure for reducing construction safety accidents. However, the current algorithms for detecting helmet-wearing face several challenges, including high missed detection rates and low accuracy in detecting dense small safety helmets. …”
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ADVANCEMENTS IN TRANSFER LEARNING: A COMPREHENSIVE REVIEW OF NOVEL APPROACHES FOR MRI BRAIN IMAGE DIAGNOSIS by Diyar Waysi, Berivan Tahir Ahmed, Hajar Maseeh Yasin

“…In this literature review, the potential of MRI scans in classifying and detecting various medical conditions, such as glioma and Alzheimer’s, is discussed alongside current algorithmic limitations. Current research indicates potential challenges in adapting existing supervised deep learning algorithms that process MRI images to more efficient approaches. …”
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MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding by Dehao Zhang, Tao Zhang, Haijiang Sun, Yanhui Tang, Qiaoyuan Liu

“…In the past few years, deep learning methods based on optical flow and Transformer have achieved excellent results in this field, but most of the current algorithms are mainly concentrated on establishing a serialized token through the self-attention model, and they do not take into account the spatial relationship between facial landmarks. …”
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