An Improved UNet-Based Path Recognition Method in Low-Light Environments by Wei Zhong, Wanting Yang, Junhuan Zhu, Weidong Jia, Xiang Dong, Mingxiong Ou

“…These results significantly enhance path recognition accuracy in trellis orchards, particularly under low light under conditions. Compared to the FCN and SegNet algorithms, this method provides higher detection accuracy and offers a new theoretical foundation and research approach for path recognition in low-light environments.…”
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ICP Enhancement Algorithm for 6D Pose Tracking of Household Objects by Hyunho Hwang, Hyunsoo Shin, Ji-Hun Bae, Sungon Lee

“…While the performance was relatively limited for objects with low RGB texture, our algorithm achieved stable and high accuracy when sufficient RGB texture was present. …”
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A Systematic Review and Evaluation of Sustainable AI Algorithms and Techniques in Healthcare by Yehia Ibrahim Alzoubi, Ahmet E. Topcu, Ersin Elbasi

“…AI algorithms and tools are categorized into three groups: explicit AI algorithms for sustainability for energy efficiency (e.g., Federated Learning, Hybrid Quantum-Classical Optimization, Modified Lempel-Ziv-Welch (mLZW)), traditional AI algorithms for sustainable healthcare (e.g., Bidirectional Long Short-Term Memory (Bi-LSTM), Backpropagation Neural Networks (BPNNs), Convolutional Neural Networks (CNNs)), and sustainable AI techniques (e.g., Adaptive Sampling, AutoML for Model Compression (AMC)) that support low-power computing (e.g., edge computing, neuromorphic hardware, adaptive sampling). …”
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Neural network and Markov based combination prediction algorithm of video popularity by Xuesen MA, Shuyou CHEN, Xiangdong XU, Zhaokun CHU

“…Caching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of the shortcomings of traditional prediction algorithms such as poor nonlinear mapping ability, low prediction accuracy and weak adaptability, a video popularity prediction algorithm based on a neural network and Markov combined model (Mar-BiLSTM) was proposed.Information dependencies were preserved by constructing bidirectional memory network model (bi-directional long short-term memory, BiLSTM), the prediction accuracy of the model was further improved by using Markov properties while avoiding the increase of the complexity of the model caused by the introduction of external variables.Experimental results show that compared with traditional time series and classic neural network algorithms, the proposed algorithm improves predicting accuracy, effectiveness and reduces the amount of calculation.…”
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Spam filtering algorithm based on geographic E-mail path analysis by ZHANG Ni1, JIANG Yu2, FANG Bin-xing1, LI Guo1

“…A geographic E-mail path based algorithm called GEPA（geographic E-mail path analysis） was proposed to al-low network administrators to cut off spam traffic on E-mail delivery.The algorithm first extracted route information to build E-mail path subset,and then uesed an effective method mapping IP addresses or domain names of nodes in an E-mail path into geographic information.Further,the algorithm detected spam by their geographic information deviation,using E-mail traffics from a link of backbone border router in China,which crosses the country boundary of China,the performance of GEPA algorithm is evaluated.The experimental results indicated that a 13.9% reduction of E-mail can be achieved with method.The results also showed GEPA was effective and practical which can be implemented in a mas-sive traffic environment handling over millions of mails every day with small memory consumption.…”
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Spam filtering algorithm based on geographic E-mail path analysis by ZHANG Ni1, JIANG Yu2, FANG Bin-xing1, LI Guo1

“…A geographic E-mail path based algorithm called GEPA（geographic E-mail path analysis） was proposed to al-low network administrators to cut off spam traffic on E-mail delivery.The algorithm first extracted route information to build E-mail path subset,and then uesed an effective method mapping IP addresses or domain names of nodes in an E-mail path into geographic information.Further,the algorithm detected spam by their geographic information deviation,using E-mail traffics from a link of backbone border router in China,which crosses the country boundary of China,the performance of GEPA algorithm is evaluated.The experimental results indicated that a 13.9% reduction of E-mail can be achieved with method.The results also showed GEPA was effective and practical which can be implemented in a mas-sive traffic environment handling over millions of mails every day with small memory consumption.…”
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Presenting a Text Mining Algorithm to Identify Emotion in Persian Corpus by Masoud Garshasbi, Anahid Rais-Rohani, Mohammadreza Kabaranzadeh Ghadim

“…In the first approach, the algorithm is capable of detecting only one emotional word in a sentence, and then it improves to detect boosters and negating and stop word list as well. …”
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Commutation Algorithm for Three-Phase Unbalanced Load Regulation in Distribution Network by Yongxia LI, Yulei GONG, Xiuxiao GUO, Yanyan ZHAO

“…Automatic phase commutation system is widely used to deal with the load imbalance problem in low voltage distribution network. It consists of an intelligent commutation terminal and a number of phase commutation switches. …”
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A New AB Initio Repeats Finding Algorithm for Reference Genome by Shuaibin Lian, Ke Gong, Xiangli Zhang, Xinwu Chen

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Homogenization of the Probability Distribution of Climatic Time Series: A Novel Algorithm by Peter Domonkos

“…The algorithm decides about statistical significance for each break detected during the homogenization of the section means, and skips the insignificant breaks. …”
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Enhanced secure and efficient routing algorithm for optimal multimedia data transmission by Bhalia Mayur Natwarlal, Bavarva Arjav Ambaram

“…Conventional methods struggle to maintain low latency and high data integrity under increasing network loads, leading to performance degradation. …”
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Design and Implementation of English Intelligent Communication Platform Based on Similarity Algorithm by Yujie Chai

“…In the task of text similarity computation, it achieves better results in three evaluation metrics: accuracy, recall, and F1 value. The algorithm also improves the computational efficiency of the model to a certain extent by removing feature words with low feature contribution. …”
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How to identify a patient with autoinflammatory syndrome: Clinical and diagnostic algorithms by Mikhail Mikhailovich Kostik, L S Snegireva, M F Dubko, V V Masalova, T S Likhacheva, O V Kalashnikova, V G Chasnyk

“…A clinical diagnostic algorithm is presented, which can be used to detect patients with AIS and to determine indications to and the time of molecular genetic typing, and to choose priority genes.…”
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Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm by Xuefeng Zhao, Qiantai Yang, Gangwen Yan, Xiongtao Fan, Yinghui Yang, Huizhong Zhang, Song Chen

“…This paper discusses the advantages and limitations of the proposed method and suggests future directions for further optimizing the algorithm and improving module partitioning. …”
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Adaptive GDDA-BLAST: fast and efficient algorithm for protein sequence embedding. by Yoojin Hong, Jaewoo Kang, Dongwon Lee, Damian B van Rossum

“…Herein, we describe the logic and algorithmic process for a heuristic embedding strategy named "Adaptive GDDA-BLAST." …”
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Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

“…Imaging through dense fog presents unique challenges, with essential visual information crucial for applications like object detection and recognition, thereby hindering conventional image processing methods. …”
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3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion by Bingzhe Wei, Xiangchu Feng, Weiwei Wang

“…Therefore, we propose a novel multi-focus image fusion algorithm based on multi-scale and multi-directional dictionaries. …”
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Convolutional neural network-based low light image enhancement method by J. Guo

“…The stability of local binary features under variations in illumination is the study's initial method of providing directional advice for the enhancement algorithm. Second, the addition of a channel attentiveness mechanism improves the network's capacity to acquire low-light image features. …”
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Adaptive and Asymmetrical Blending for Bi-Directional Inter Prediction of Various Visual Contents in Video Coding by Minhun Lee, Donggyu Sim

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Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

“…To address this, a Reliability-Based Compact Direct Decoder (RCODD) algorithm has been proposed as a non-iterative alternative that leverages encoder state information and demodulator reliability metrics for efficient decoding. …”
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