Friday, November 26, 2021

Weekly Review 26 November 2021

Some interesting links that I Tweeted about this week:

1) 20+ years ago my PhD stipend needed to be supplemented by tutoring. Living on a PhD stipend now would be almost impossible: https://www.stuff.co.nz/national/education/127015167/its-a-disgrace-phd-students-struggling-on-less-than-minimum-wage

2) A better question would be, how can you regulate AI when nobody can agree on what it is? https://www.techrepublic.com/article/policymakers-want-to-regulate-ai-but-lack-consensus-on-how/

3) The languages that are more commonly used for Data Science and Machine Learning: https://www.kdnuggets.com/2021/11/3-differences-coding-data-science-machine-learning.html


5) Personally, I'm quite happy and more productive working remotely in higher education, but I can see how other people would struggle with it: https://www.insidehighered.com/blogs/learning-innovation/5-reasons-why-i%E2%80%99m-struggling-working-virtually

6) The world's biggest military issues ethics guidelines for AI: https://www.technologyreview.com/2021/11/16/1040190/department-of-defense-government-ai-ethics-military-project-maven/ This is not going to end well.



9) How the gambling industry is using AI to improve their own odds: https://www.techrepublic.com/article/how-machine-learning-is-skewing-the-odds-in-online-gambling/ Who was it said that gambling is a tax on people who are bad at maths?

10) Detecting driver impairment using AI: https://spectrum.ieee.org/driver-assistance-package

11) I used to get up at 4:30 a.m. to take my daughter to her swimming training sessions, then spend a full day at work-the lack of rest was not particularly pleasant: https://www.stuff.co.nz/national/health/127006684/while-we-were-sleeping-meet-nzs-early-birds-the-people-getting-up-hours-before-you

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 5, Issue 6, December 2021

Author(s): Ghulam Mohi-Ud-Din;Angelos K. Marnerides;Qi Shi;Chelsea Dobbins;Aine MacDermott
Pages: 860 - 870

Author(s): Lin Wang;Andrea Cavallaro
Pages: 871 - 881

Author(s): Paul Fergus;Carl Chalmers;Casimiro Curbelo Montanez;Denis Reilly;Paulo Lisboa;Beth Pineles
Pages: 882 - 892

Author(s): Nitin Naik;Changjing Shang;Paul Jenkins;Qiang Shen
Pages: 893 - 907

Author(s): Preeti Jha;Aruna Tiwari;Neha Bharill;Milind Ratnaparkhe;Mukkamalla Mounika;Neha Nagendra
Pages: 908 - 919

Author(s): Yichi Zhang;Chunhua Yang;Keke Huang;Marko Jusup;Zhen Wang;Xuelong Li
Pages: 920 - 930

Author(s): John Boaz Lee;Giang Nguyen;Ryan A. Rossi;Nesreen K. Ahmed;Eunyee Koh;Sungchul Kim
Pages: 931 - 946

Author(s): Jing-jing Wang;Ling Wang
Pages: 947 - 961

Author(s): Hooman Mohammadi Moghadam;Meysam Gheisarnejad;Zahra Esfahani;Mohammad-Hassan Khooban
Pages: 962 - 971

Thursday, November 25, 2021

IEEE Transactions on Neural Networks and Learning Systems, Volume 32, Issue 10, October 2021

Author(s): Ke Gu; Hongyan Liu; Zhifang Xia; Junfei Qiao; Weisi Lin; Daniel Thalmann
Pages: 4278 - 4290

Author(s): Andrea Galassi; Marco Lippi; Paolo Torroni
Pages: 4291 - 4308

Author(s): Zhen Fang; Jie Lu; Feng Liu; Junyu Xuan; Guangquan Zhang
Pages: 4309 - 4322

Author(s): Krishnan Raghavan; Shweta Garg; Sarangapani Jagannathan; V. A. Samaranayake
Pages: 4323 - 4333

Author(s): Wenqian Xue; Jialu Fan; Victor G. Lopez; Yi Jiang; Tianyou Chai; Frank L. Lewis
Pages: 4334 - 4346

Author(s): Gyeong-Moon Park; Jong-Hwan Kim
Pages: 4347 - 4361

Author(s): Liyang Zhang; Shuaicheng Liu; Donghao Liu; Pengpeng Zeng; Xiangpeng Li; Jingkuan Song; Lianli Gao
Pages: 4362 - 4373

Author(s): Haishan Ye; Luo Luo; Zhihua Zhang
Pages: 4374 - 4388

Author(s): Haoran You; Yu Cheng; Tianheng Cheng; Chunliang Li; Pan Zhou
Pages: 4389 - 4403

Author(s): Xiaoyu Tao; Xiaopeng Hong; Weiwei Shi; Xinyuan Chang; Yihong Gong
Pages: 4404 - 4418

Author(s): Min Yang; Qiang Qu; Ying Shen; Zhou Zhao; Xiaojun Chen; Chengming Li
Pages: 4419 - 4431

Author(s): Yuan Yuan; Peng Zhang; Xuelong Li
Pages: 4432 - 4444

Author(s): Kleanthis Malialis; Christos G. Panayiotou; Marios M. Polycarpou
Pages: 4445 - 4459

Author(s): Ruibing Hou; Bingpeng Ma; Hong Chang; Xinqian Gu; Shiguang Shan; Xilin Chen
Pages: 4460 - 4474

Author(s): Fei Zhao; Ting Zhang; Yi Wu; Ming Tang; Jinqiao Wang
Pages: 4475 - 4489

Author(s): Yuyan Guo; Bin Xu; Rui Zhang
Pages: 4490 - 4498

Author(s): Xiaofeng Ruan; Yufan Liu; Chunfeng Yuan; Bing Li; Weiming Hu; Yangxi Li; Stephen Maybank
Pages: 4499 - 4513

Author(s): Zheng Zhang; Luyao Liu; Yadan Luo; Zi Huang; Fumin Shen; Heng Tao Shen; Guangming Lu
Pages: 4514 - 4528

Author(s): Jian Lou; Yiu-ming Cheung
Pages: 4529 - 4543

Author(s): Ali Heydari
Pages: 4544 - 4552

Author(s): Jian Fu; Xiang Teng; Ce Cao; Zhaojie Ju; Ping Lou
Pages: 4553 - 4564

Author(s): Kai-Fung Chu; Albert Y. S. Lam; Chenchen Fan; Victor O. K. Li
Pages: 4565 - 4576

Author(s): Wanbing Zhao; Hao Liu; Frank L. Lewis
Pages: 4577 - 4587

Author(s): Damith A. Senanayake; Wei Wang; Shalin H. Naik; Saman Halgamuge
Pages: 4588 - 4602

Author(s): Zhengcai Cao; Dong Zhang; MengChu Zhou
Pages: 4603 - 4612

Author(s): Tao Sun; Linbo Qiao; Dongsheng Li
Pages: 4613 - 4626

Author(s): Tengteng Yu; Xin-Wei Liu; Yu-Hong Dai; Jie Sun
Pages: 4627 - 4638

Author(s): Zhen Zhang; Dongqing Wang; Junwei Gao
Pages: 4639 - 4652

Author(s): Yu Lu; Changyun Wen; Tielong Shen; Weidong Zhang
Pages: 4653 - 4664

Author(s): Qingxiong Tan; Mang Ye; Andy Jinhua Ma; Baoyao Yang; Terry Cheuk-Fung Yip; Grace Lai-Hung Wong; Pong C. Yuen
Pages: 4665 - 4679

Author(s): Qian Gao; Zhifang Yang; Juan Yu; Wei Dai; Xingyu Lei; Bo Tang; Kaigui Xie; Wenyuan Li
Pages: 4680 - 4690

Author(s): Peng Zhou; Peipei Li; Shu Zhao; Xindong Wu
Pages: 4691 - 4702

Author(s): Shuai Sui; C. L. Philip Chen; Shaocheng Tong
Pages: 4703 - 4712

Author(s): Mahdi Khodayar; Guangyi Liu; Jianhui Wang; Okyay Kaynak; Mohammad E. Khodayar
Pages: 4713 - 4727

Author(s): Yeonsu Kang; Jiung Jang; Danyoung Cha; Sungsik Lee
Pages: 4728 - 4741

Author(s): Wanping Zhang; Yongru Chen; Wenming Yang; Guijin Wang; Jing-Hao Xue; Qingmin Liao
Pages: 4742 - 4747

Author(s): Yimin Hou; Sen Wan; Feng Bao; Zhiquan Ren; Yunfeng Dong; Qionghai Dai; Yue Deng
Pages: 4748 - 4754

Author(s): Indro Spinelli; Simone Scardapane; Aurelio Uncini
Pages: 4755 - 4760

Author(s): Hong Sang; Jun Zhao
Pages: 4761 - 4768


Friday, November 19, 2021

Weekly Review 19 November 2021

1) Some quotes from experts on the current state of AI: https://spectrum.ieee.org/artificial-intelligence-quotes/particle-30

2) When even the news from New Zealand's national broadcaster regularly mangles grammer, misuses phrases and displays a shocking ignorance of mathematics, I will say yes, spelling and maths does matter in the workplace: https://www.stuff.co.nz/business/opinion-analysis/300445266/spelling-and-maths-still-matter-in-the-workplace

3) Who needs Deep Learning to predict when it's going to rain? Just ask me when I plan to mow my lawn: https://www.technologyreview.com/2021/09/29/1036331/deepminds-ai-predicts-almost-exactly-when-and-where-its-going-to-rain/

4) Preventing wild fires by using AI to analyse drone images of power lines: https://spectrum.ieee.org/smokey-the-ai


6) The role of quantum computing in Machine Learning: https://www.datanami.com/2021/11/11/is-quantum-computing-the-future-of-ai/

7) Using Deep Learning to translate accents: https://spectrum.ieee.org/ai-accent-translator


9) Some common misconceptions about working in Machine Learning: https://www.kdnuggets.com/2021/11/common-misconception-about-machine-learning.html






Thursday, November 18, 2021

IEEE Transactions on Artificial Intelligence, Volume 2, Number 5, October 2021

Author(s): Wei He; Zhijun Li; Erdal Kayacan; Catherine Huang; Michael V. Basin
Pages: 382 - 383

Author(s): Dapeng Yan; Hui Cao; Tao Wang; Ruilin Chen; Shuangsi Xue
Pages: 384 - 393

Author(s): Zhipeng Dong; Yi Gao; Yunhui Yan; Fei Chen
Pages: 394 - 403

Author(s): Hang Su; Wen Qi; Zhijun Li; Ziyang Chen; Giancarlo Ferrigno; Elena De Momi
Pages: 404 - 412

Author(s): Yikai Li; Tong Zhang; C. L. Philip Chen
Pages: 413 - 423

Author(s): Shaofeng Chen; Yang Cao; Yu Kang; Pengfei Li; Bingyu Sun
Pages: 437 - 446

Saturday, November 13, 2021

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 5, Number 5, October 2021

Author(s): Yu Zhang; Peter Tiňo; Aleš Leonardis; Ke Tang
Pages: 726 - 742

Author(s): Jichen Shi; Zhigang Zeng
Pages: 743 - 754

Author(s): Eirini Troullinou; Grigorios Tsagkatakis; Spyridon Chavlis; Gergely F. Turi; Wenke Li; Attila Losonczy; Panagiotis Tsakalides; Panayiota Poirazi
Pages: 755 - 767

Author(s): H. M. Dipu Kabir; Abbas Khosravi; Saeid Nahavandi; Dipti Srinivasan
Pages: 768 - 779

Author(s): Yu-Fei Lin; Tzu-Ming Huang; Wei-Ho Chung; Yeong-Luh Ueng
Pages: 780 - 791

Author(s): S. A. Malik; A. H. Mir
Pages: 792 - 802

Author(s): Zhenghua Chen; Min Wu; Kaizhou Gao; Jiyan Wu; Jie Ding; Zeng Zeng; Xiaoli Li
Pages: 803 - 812

Author(s): Suraj Prakash Sahoo; Samit Ari; Kamalakanta Mahapatra; Saraju P. Mohanty
Pages: 813 - 825

Author(s): Yu-Lin Lan; Fagui Liu; Wing W. Y. Ng; Jun Zhang; Mengke Gui
Pages: 826 - 839

Author(s): Yize Chen; Hao Wang
Pages: 840 - 845

Author(s): LeSheng Jin; Radko Mesiar; Andrea Stupňanová; Ronald R. Yager
Pages: 846 - 853

Author(s): Mahdi Mosayebi; Meysam Gheisarnejad; Mohammad-Hassan Khooban
Pages: 854 - 859

Friday, November 12, 2021

Weekly Review - 12 November 2021

Some interesting links that I Tweeted about this week:

1) Simulating a dragonfly's brain shows that enormous deep neural networks aren't always necessary: https://spectrum.ieee.org/fast-efficient-neural-networks-copy-dragonfly-brains

2) The precariousness of research positions is why I got out of a research-only career and into academic management - a much better way of supporting my family: https://www.nature.com/articles/d41586-021-02613-4

3) Some recent advances in reinforcement learning for deep  neural networks: https://spectrum.ieee.org/reinforcement-learning

4) AI in general, and Deep Neural Networks in particular, have been over-hyped. They can still achieve some useful results, but a healthy level skepticism should be employed: https://www.bloomberg.com/opinion/articles/2021-10-04/artificial-intelligence-ain-t-that-smart-look-at-tesla-facebook-healthcare


6) I've been working from home almost three months. I've never done any of these five things: https://www.stuff.co.nz/business/prosper/advice/300419444/five-things-to-avoid-when-working-from-home

7) This is not going to end well: https://spectrum.ieee.org/predictive-ai-pentagon AI


9) Organic, implantable, neural networks https://spectrum.ieee.org/brain-inspired-ai-implant 

10) My alma mater is using AI to increase energy efficiency in its buildings: https://www.odt.co.nz/news/dunedin/campus/ai-managing-university-energy-use

11) Deep learning in military robots: https://spectrum.ieee.org/ai-army-robots

12) Good overview of time-series prediction with machine learning: https://www.kdnuggets.com/2020/03/machine-learning-time-series-forecasting-sequel.html

13) How the energy costs of deep learning are becoming unsustainable: https://spectrum.ieee.org/deep-learning-computational-cost


15) Overview of the history of AI, especially neural networks: https://spectrum.ieee.org/history-of-ai

Thursday, November 11, 2021

On class differences in research

 My guilty secret is that I like to browse Quora, and occasionally answer some questions. One question I wrote an answer for, was "What is it like to get a PhD when you grew up in a poor family?". Below I reproduce the answer I gave, explaining that while I wouldn't have considered myself poor by the standards of the time, I probably would be now. I also wouldn't have been able to get a PhD if I had been born twenty years later, it just wouldn't have been feasible.

For some time, whenever I went to a conference or workshop, I would ask the PhD-holding researchers I got to know, what their parents did for a living. In almost every case, their parents were professionals of some description. The number of researchers who had working-class parents, like I did, were very, very small.

This very unscientific polling leads me to believe that while improvements are being made in the diversity of researchers with respect to race and gender, the impediments caused by class to access to higher education, and ultimately becoming a researcher, are still there. It is already hard for working-class kids to access tertiary education, and the current pandemic is exacerbating that inequality. But what can we do about it?

Below is the answer I gave to the Quora question above.

Tuesday, November 9, 2021

IEEE Transactions on Neural Networks and Learning Systems, Volume 32, Number 11, November 2021

Author(s): Chun Yen Lee; Yi-Ping Phoebe Chen
Pages: 4770 - 4780

Author(s): Zhijie Lin; Zhaoshui He; Shengli Xie; Xu Wang; Ji Tan; Jun Lu; Beihai Tan
Pages: 4781 - 4792

Author(s): Erico Tjoa; Cuntai Guan
Pages: 4793 - 4813

Author(s): Jing Jin; Ruocheng Xiao; Ian Daly; Yangyang Miao; Xingyu Wang; Andrzej Cichocki
Pages: 4814 - 4825

Author(s): Muhammad Aminul Islam; Bryce Murray; Andrew Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller
Pages: 4826 - 4838

Author(s): Shuling Wang; Haitao Li
Pages: 4839 - 4848

Author(s): Chong Di; Qilian Liang; Fangqi Li; Shenghong Li; Fucai Luo
Pages: 4849 - 4863

Author(s): Antonio-Javier Gallego; Jorge Calvo-Zaragoza; Robert B. Fisher
Pages: 4864 - 4878

Author(s): Adolfo Perrusquía; Wen Yu
Pages: 4879 - 4889

Author(s): Kai Zhao; Yongduan Song; Wenchao Meng; C. L. Philip Chen; Long Chen
Pages: 4890 - 4900

Author(s): Hong Li; Li Zhang
Pages: 4901 - 4915

Author(s): Xinyu Zhong; Yanbo Gao
Pages: 4916 - 4930

Author(s): Yongqiang Nai; Qingyu Yang; Zongze Wu
Pages: 4931 - 4945

Author(s): Boyi Zhang; Pengjian Shang
Pages: 4946 - 4955

Author(s): Zhengming Ma; Zengrong Zhan; Zijian Feng; Jiajing Guo
Pages: 4956 - 4970

Author(s): Min Gan; Yu Guan; Guang-Yong Chen; C. L. Philip Chen
Pages: 4971 - 4982

Author(s): Yaqiang Yao; Yang Li; Bingbing Jiang; Huanhuan Chen
Pages: 4983 - 4996

Author(s): Ahmad Khajenezhad; Hatef Madani; Hamid Beigy
Pages: 4997 - 5007

Author(s): Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang; Thangarajah Akilan
Pages: 5008 - 5021

Author(s): Zhen Li; Jianguo Wu; Xiaowei Yue
Pages: 5022 - 5033

Author(s): Xuejin Chen; Xiaotian Chen; Yiteng Zhang; Xueyang Fu; Zheng-Jun Zha
Pages: 5034 - 5046

Author(s): Chang-Dong Wang; Man-Sheng Chen; Ling Huang; Jian-Huang Lai; Philip S. Yu
Pages: 5047 - 5060

Author(s): Ruoxia Li; Jinde Cao
Pages: 5061 - 5071

Author(s): Věra Kůrková; David Coufal
Pages: 5072 - 5081

Author(s): Muhammad Awais; Md. Tauhid Bin Iqbal; Sung-Ho Bae
Pages: 5082 - 5092

Author(s): Jinxing Li; Bob Zhang; Guangming Lu; Yong Xu; Feng Wu; David Zhang
Pages: 5093 - 5107

Author(s): Hui-Ting Wang; Yong He; Chuan-Ke Zhang
Pages: 5108 - 5117

Author(s): Na Lin; Ronghu Chi; Biao Huang; Zhongsheng Hou
Pages: 5118 - 5128

Author(s): Liming Liu; Maoxiang Chu; Rongfen Gong; Li Zhang
Pages: 5129 - 5143

Author(s): Alexander E. Prosvirin; Farzin Piltan; Jong-Myon Kim
Pages: 5144 - 5155

Author(s): Tong Ma
Pages: 5156 - 5166

Author(s): Nan Hou; Hongli Dong; Zidong Wang; Hongjian Liu
Pages: 5167 - 5178

Author(s): Chenhui Zhao; Donghui Guo
Pages: 5179 - 5193

Author(s): Junkai Ji; Yajiao Tang; Lijia Ma; Jianqiang Li; Qiuzhen Lin; Zheng Tang; Yuki Todo
Pages: 5194 - 5207

Author(s): Fuyu Zhao; Weinan Gao; Zhong-Ping Jiang; Tengfei Liu
Pages: 5208 - 5221

Author(s): Xin Zhang; Wuneng Zhou; Hamid Reza Karimi; Yuqing Sun
Pages: 5222 - 5231

Author(s): Jiannan Chen; Changchun Hua; Xinping Guan
Pages: 5232 - 5240

Author(s): Manish Narwaria; Aditya Tatu
Pages: 5241 - 5246

Author(s): Mulin Chen; Xuelong Li
Pages: 5247 - 5253

Author(s): Kaihong Lu; Qixin Zhu
Pages: 5254 - 5260

Monday, November 8, 2021

Three helpful stories

Having spent a big chunk of my working life teaching, I've learned how valuable metaphors can be when communicating. Some of the most effective metaphors are in the form of funny or amusing stories. This applies to doing research as well: with the Internet originating in universities, a lot of stories or parables related to research have been circulating on the Internet for a very long time.
None of the stories below are mine, they have all been circulating for a long time. They are, however, relevant to doing research.

The Pot Roast

One day a young woman was cooking a roast. Her husband asked her why she cut the ends off of the roast before putting it in the over. She replied "I don't know, that's the way my mother always did it". Later that night, she phoned her mother and asked her why she always cut the ends off of the roast before putting it in the oven. Her mother replied "I don't know, that's the way your grandmother always did it". So the young woman phoned her grandmother, and asked her why. Her grandmother replied "Because the roast was too big for the pot".

The story of the Russian sentry in the field is in a similar vein.

There might have once been a good reason for doing something a certain way, but that doesn't mean that that reason is still valid. Methods and procedures need to be re-evaluated regularly. Fixating on one way of doing things means that you can miss out on improving your methods and getting better results.

The Three Statisticians

Several versions of this story exist.

Three statisticians were out hunting when they sighted a deer. The first statistician fired and missed one metre to the left. The second statistician fired and missed one metre to the right. The third statistician cried out "We got it!".

Just because you can find an average of values, doesn't mean that that average is meaningful. This applies to other statistical measures as well. It might sound impressive if you use a complicated or obscure statistical method when processing your results, but if it's the wrong method the outcomes won't tell you anything. A good working knowledge of statistics and measurement theory is essential when analysing, and interpreting, data and results.

The Rabbit and the Fox

Another story were there are several different versions online, but all have the same punchline.

One day a fox was walking through the forest when it came across a rabbit sitting outside its burrow, reading a pile of papers. The fox asked the rabbit "What are you doing?" to which the rabbit replied "I'm doing the literature review for my thesis". "What's your thesis on?" the fox asked. "It's on the superiority of rabbits to foxes. Would you like to come inside and discus it?". The fox licked its lips hungrily, followed the rabbit into the rabbit burrow, and was never seen again.


Some time later, a wolf was walking past the burrow when it saw the rabbit sitting outside, poring over a thick volume. "What are you doing?" the wolf asked the rabbit. "I'm proof-reading my thesis" said the rabbit "It's on the superiority of rabbits over wolves. Would you like to come inside and discuss it?". The wolf licked its lips hungrily, followed the rabbit into the rabbit burrow, and was never seen again.

A few months later, a hare was hopping through the forest past the rabbit burrow, and saw the rabbit sitting in the sun, relaxing. "What are you doing?" the hare asked the rabbit. "I'm having a break - I've just defended my thesis on the superiority of rabbits to foxes and wolves. Would you like to come inside and discuss it?". The hare followed the rabbit into the rabbit burrow. In one corner was a pile of fox bones. In another corner was a pile of wolf bones. Sitting between them was a lion.

So, it doesn't really matter what your thesis is about, as long as your supervisor is a lion.


Getting good advice when you are starting out is essential. The right mentor can set you up for life. The wrong mentor can ruin you. I've seen students lose their careers before they began simply because they chose the wrong PhD supervisor. These people have lost years of their lives and gone thousands of dollars into debt, for no gain. Some of them were pushed out before they submitted their thesis, while others failed their thesis examination because their supervisors failed to prepare them for the examination process. Be very careful when choosing a supervisor or a mentor. Better to choose a lion than a fox.

Sunday, November 7, 2021

Soft Computing, Volume 25, Issue 24, December 2021

Author(s): B. V. Senthil KumarKhalifa Al-ShaqsiHemen Dutta
Pages: 14969 - 14977

Author(s): Uddagiri ChandrasekharNeelu Khare
Pages: 14979 - 14992

Author(s): Muhammad Shamrooz Aslam; Irfan Qaisar...Perumal Ramaraj
Pages: 14993 - 15003

Author(s): Songyi Yin; Yang Yang...Hongxu Li
Pages: 15005 - 15020

Author(s): Junwen Chen; Xuemei Qi...Guihua Cheng
Pages: 15021 - 15034

Author(s): David Chalupa; Peter Nielsen
Pages: 15035 - 15050

Author(s): Xuemei Li; Shaojun Li
Pages: 15051 - 15065

Author(s): Parul Chauhan; Anjana Gupta
Pages: 15067 - 15081

Author(s): Sudeshna Devnath; Pravash Kumar Giri...Manoranjan Maiti
Pages: 15083 - 15114

Author(s): Ahmed Hamed; Hamed Nassar
Pages: 15115 - 15130

Author(s): Yang Li; Wei-gang Li...Ao Liu
Pages: 15131 - 15161

Author(s): Zuanjia Xie; Chunliang Zhang...Liqun Gao
Pages: 15163 - 15181

Author(s): Qingzhen Xu; Shuang Liu...Xiaonan Luo
Pages: 15183 - 15199

Author(s): Lucas Gabriel Zanon; Luiz Cesar Ribeiro Carpinetti
Pages: 15201 - 15220

Author(s): Chuanxi Jin; Yan Ran; Genbao Zhang
Pages: 15221 - 15241

Author(s): Adil Baykasoğlu; Elif Ercan
Pages: 15243 - 15254

Author(s): M. Suchetha; N. Sai Ganesh...D. Edwin Dhas
Pages: 15255 - 15268

Author(s): Kasra Babaei; Zhi Yuan Chen; Tomas Maul
Pages: 15269 - 15280

Author(s): Shaveta Dargan; Munish Kumar; Shikha Tuteja
Pages: 15281 - 15295

Author(s): Saif Alzabeebee; Younis M. Alshkane...Kamal Ahmad Rashed
Pages: 15297 - 15312

Author(s): Fatemeh Ahmadimanesh; Mohammad Pourmehdi; Mohammad Mahdi Paydar
Pages: 15313 - 15333

Author(s): Salvatore Rampone; Alessio Valente
Pages: 15335 - 15343

Author(s): Walid Hariri; Ali Narin
Pages: 15345 - 15362

Author(s): B. Chitra; S. S. Kumar
Pages: 15363 - 15376

Author(s): Sudhriti Sengupta; Neetu Mittal; Megha Modi
Pages: 15377 - 15390

Author(s): Bin Zhao; Dou Qin...Lizhi Xu
Pages: 15391 - 15401

Author(s): Francisco J. Castellanos; Jose J. Valero-Mas; Jorge Calvo-Zaragoza
Pages: 15403 - 15415

Author(s): Suvita Rani Sharma; Birmohan Singh; Manpreet Kaur
Pages: 15417 - 15443

Author(s): Santosh Kumar Satapathy; D. Loganathan
Pages: 15445 - 15462

Author(s): Walid Tadj; Mohamed Chettih; Kaddour Mouattah
Pages: 15463 - 15476