耿同学打假报告库
查阅已生成的学术论文打假检测报告,支持标题和内容搜索。
SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection
2026-06-01 15:10🔍 耿同学打假报告 论文信息 **标题**:SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection **作者**:Zhubo Liu **期刊**:未知(从排版和页眉看,可能是预印本或会议投稿件) **DOI**:未提供 **发表年份**:2024/202...
SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection
2026-06-01 15:07🔍 耿同学打假报告 论文信息 **标题**:SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection **作者**:Zhubo Liu **期刊**:会议/期刊预印本(未见具体期刊名,推测为投稿状态) **DOI**:未提供 **发表年份**:2024/20...
Knockdown of the EEF1A2 gene reduces lung cancer brain metastasis by downregulating the BCL10/NFκB pathway
2026-06-01 15:06🔍 耿同学打假报告 论文信息 **标题**:Knockdown of the EEF1A2 gene reduces lung cancer brain metastasis by downregulating the BCL10/NFκB pathway **作者**:Bo Li, Jinyi Zhou, Kai Ding, Songyu Liu, Lu Zhang, Bin Zeng, Hon...
Hybrid Prototype Contrastive Learning with Cross-Attention for Few-Shot Relation Classification
2026-06-01 15:05🔍 耿同学打假报告 论文信息 **论文来源**:http://poster-openaccess.com/files/ICIC2025/260.pdf **标题**:Hybrid Prototype Contrastive Learning with Cross-Attention for Few-Shot Relation Classification **作者**:Zeyu Zhang, Sh...
SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection
2026-06-01 15:03🔍 耿同学打假报告 论文信息 **标题**:SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection **作者**:Zhubo Liu **期刊**:会议/期刊未标注(从参考文献格式推断为 Springer/LNCS 系列,可能是 ECCV/ICPR 的 w...
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2026-06-01 15:00🔍 耿同学打假报告 论文信息 标题:[未提供,文件内容为空] 作者:[未提供] 期刊:[未提供] DOI:[未提供] 发表年份:[未提供] 论文来源:yolo.pdf 综合评定:🟡 无法评估 详细发现 发现 1:文本与数据完全缺失(全军覆没型) **位置**:整个输入框(`--- 论文全文开始 ---` 至 `--- 论文全文结束 ---` 之间) **描述**:未检测到任何文字、数据、表格、图片...
面向SDN-5G网络的移动用户迁移认证方案(LightTHA)
2026-06-01 14:50🔍 耿同学打假报告 论文信息 标题:面向SDN-5G网络的移动用户迁移认证方案(LightTHA) 作者:论文文本中未提取到具体作者姓名(疑为学位论文第4章) 期刊:无(疑似学位论文或专著章节) DOI:无 发表年份:文本中未明确,但结合当前日期(2026年)及内容判断为近年撰写 综合评定:🟠 高度可疑 详细发现 发现 1:第六式 - 方法学与协议设计存在严重逻辑漏洞 **位置**:4.2.2 迁...
A Coarse-Precise Refinement Learning-Based Knowledge Distillation Network for Anomaly Detection
2026-06-01 14:49🔍 耿同学打假报告 论文信息 **标题**:A Coarse-Precise Refinement Learning-Based Knowledge Distillation Network for Anomaly Detection **作者**:Chaoyang Li, Haozheng Zhang, Fei Wang, Chengkun Li, Yanhong Yang **期刊/会议**:...
这里是根据「耿同学六式」为您生成的学术论文深度检测报告: ```markdown 🔍 耿同学打假报告 论文信息 标题:GFR: An Effective Plugin for Enhancing the ECG Classification Capability of Models 作者:Xunde Dong, Yupeng Qiang*, Xiuling Liu, Yang Yang, Yiha...
面向SDN-5G网络的移动用户迁移认证方案(LightTHA)
2026-06-01 14:37🔍 耿同学打假报告 论文信息 标题:面向SDN-5G网络的移动用户迁移认证方案(LightTHA) 作者:未提供(文本为学位论文或期刊论文的第4章) 期刊:未提供 DOI:未提供 发表年份:未提供(当前按 2026-06-01 基准评估) 论文来源:2.pdf 综合评定:🟠 高度可疑 *(注:因缺乏原始高清图片,无法进行像素级造假鉴定,但文本逻辑、排版与实验数据存在多处违背常理的系统性异常,建议深...
🔍 耿同学打假报告 论文信息 **标题**:T-Attention: Optimizing Attention Computation Using Temporal Parameter Time **作者**:Yichen Yang, Hongxu Hou and Wei Chen **期刊/会议**:2025 International Conference on Intelligent Com...
Bearing Remaining Useful Life Prediction via Multi-Scale Convolution and Bidirectional Gated Recurrent Unit Network
2026-06-01 14:32🔍 耿同学打假报告 论文信息 标题:Bearing Remaining Useful Life Prediction via Multi-Scale Convolution and Bidirectional Gated Recurrent Unit Network 作者:Jian Li, Rangyong Zhang, Hu Liang, and Yiming Zhang 期刊/会议:2025 ...
🔍 耿同学打假报告 论文信息 **标题**:DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection **作者**:Xuan Zhang, Shiyu Li, Xi Li, Ping Huang, Jiulong Shan, Ting Chen **期刊**:会议论文(根据引用格式和文本特征推断,疑似投...
面向SDN-5G网络的移动用户迁移认证方案(第4章)
2026-06-01 14:25🔍 耿同学打假报告 论文信息 标题:面向SDN-5G网络的移动用户迁移认证方案(第4章) 作者:未提供(文本中未包含) 期刊:未提供(推测为学位论文或期刊论文草稿的一章) DOI:未提供 发表年份:未提供(基于当前日期2026年判断,应为近期撰写) 综合评定:🟠 高度可疑 (注:本文存在多处基础性的密码学逻辑漏洞、文本自相矛盾以及疑似陈旧数据套用的嫌疑。虽然没有WB图等传统生化实验图片,但其算法逻...
SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection
2026-06-01 14:25🔍 耿同学打假报告 论文信息 **标题**:SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection **作者**:Zhubo Liu **期刊**:未注明(从排版和内容看,处于会议/期刊投稿阶段,或为学术报告) **DOI**:未提供 **发表年份**:2...
SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection
2026-06-01 14:20🔍 耿同学打假报告 论文信息 **标题**:SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection **作者**:Zhubo Liu **期刊**:未注明(推测为会议论文或预印本,稿件状态可能为投稿中) **DOI**:未提供 **发表年份**:2026(...
SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection
2026-06-01 14:08🔍 耿同学打假报告 论文信息 **标题**:SA-SE DINOv2: Lightweight Adaptive Multi-scale Fusion for Unsupervised Industrial Anomaly Detection **作者**:Zhubo Liu **期刊**:未标明具体期刊(疑似投递 Springer LNCS/CCF 系列会议或期刊,排版为单栏 LaTeX 模板)...