DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions [0.03%]
DARUMA：预测内在无序区域的快速而简便的方法
Itsuki Shimizu,Takuya Ida,Yuhei Ozawa et al.
Itsuki Shimizu et al.
Background: Intrinsically disordered proteins (IDPs) are proteins that contain intrinsically disordered regions (IDRs), which lack stable three-dimensional structures under physiological conditions. These regions are know...
Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization [0.03%]
基于Haralick特征提取和模拟退火优化的量子深度神经网络在阿尔茨海默病检测中的应用
Sabari Vasan S,Jayalakshmi P
Sabari Vasan S
Alzheimer's disease (AD) is a neurodegenerative disorder that affects a wide range of individuals worldwide. It is of utmost importance to detect AD at an earlier stage and diagnose it to manage the disease effectively. Detecting AD using t...
Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network [0.03%]
基于深度自编码器和人工蜂群算法训练的神经网络的异常流量检测方法研究
Hilal Hacılar,Bilge Kagan Dedeturk,Burcu Bakir-Gungor et al.
Hilal Hacılar et al.
Cyberattacks are increasingly becoming more complex, which makes intrusion detection extremely difficult. Several intrusion detection approaches have been developed in the literature and utilized to tackle computer security intrusions. Impl...
An anomaly detection model for multivariate time series with anomaly perception [0.03%]
一种带有异常感知的多变量时间序列异常检测模型
Dong Wei,Wu Sun,Xiaofeng Zou et al.
Dong Wei et al.
Multivariate time series anomaly detection is a crucial data mining technique with a wide range of applications in areas such as IT applications. Currently, the majority of anomaly detection methods for time series data rely on unsupervised...
Retraction: A wormhole attack detection method for tactical wireless sensor networks [0.03%]
撤稿：战术无线传感器网络的虫洞攻击检测方法
PeerJ Editorial Office
PeerJ Editorial Office
[This retracts the article DOI: 10.7717/peerj-cs.1449.]. ©2024 PeerJ Editorial Office.
Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators [0.03%]
基于Schweizer-Sklar优先级聚合算子的双极复模糊决策方法在精神疾病分类中的应用研究
Tahir Mahmood,Ubaid Ur Rehman,Xindong Peng et al.
Tahir Mahmood et al.
A clinically important loss in a person's understanding, emotive power, or conduct is a symptom of a mental disorder. It generally occurs for genetic, psychological, and/or cognitive reasons and is accompanied by discomfort or limitationin ...
A hybrid algorithmic model for enhancing security in intelligent reflecting surface-assisted wireless communication [0.03%]
一种用于增强智能反射表面辅助无线通信安全的混合算法模型
Sivasankar S,Markkandan S
Sivasankar S
This article introduces Synergistic Gradient Projection with Dynamic Adaptive Risk Expansion (SGP-DARE), a hybrid optimization framework designed to enhance physical-layer security in wireless networks supported by intelligent reflecting su...
A new era in identification of tick genera; artificial intelligence for precision and speed [0.03%]
蜱属鉴定的新时代；人工智慧助力精准与快速识别
Ibrahim A Ame,Abdullahi Ibrahim Umar,Cenk S Ozverel et al.
Ibrahim A Ame et al.
Background: The occurrence of pandemics in the last 20 years highlighted the unpreparedness of healthcare systems. There is a worldwide increased trend in the vector borne diseases. Ticks are one of the most common organi...
MS-YieldStackNet: multi-source data fusion for wheat yield estimation using a stacked ensemble neural network [0.03%]
基于堆叠集成神经网络的多源数据融合的小麦产量估算方法（MS-YieldStackNet）
Waqas Ali,Zeeshan Ramzan,Muhammad Shahbaz et al.
Waqas Ali et al.
Accurate crop yield prediction is vital for ensuring food security and informing agricultural policy, particularly in wheat-dependent regions like Pakistan where manual estimation methods are labor-intensive and imprecise. This study introd...
KomoTrip: a multi-day travel itinerary recommendation method based on the discrete komodo mlipir algorithm [0.03%]
基于离散科莫多蚂蚁算法的多日旅游行程推荐方法
Z K Abdurahman Baizal,Soni Fajar Surya Gumilang,Rio Nurtantyana et al.
Z K Abdurahman Baizal et al.
Technological developments in recent years led to the emergence of increasingly sophisticated recommender systems to support multi-day travel itineraries that fall under the Tourist Trip Design Problem (TTDP). Various problem analogies are ...