#Kumar Prashant

[livenews24x7hindi]

प्रशांत किशोर का नीतीश कुमार पर हमला, कहा- मैंने बिहार के विकास के लिए कुछ नहीं मांगा

प्रशांत किशोर ने बिहार के मुख्यमंत्री नीतीश कुमार पर जमकर हमला बोला। उन्होंने कहा कि नीतीश कुमार ने यह नहीं कहा था कि हम आपको तभी समर्थन देंगे जब आप बिहार में बंद चीनी मिलों को फिर से चालू करेंगे। जन सुराज पार्टी के अध्यक्ष प्रशांत किशोर ने बिहार के मुख्यमंत्री नीतीश कुमार पर जमकर हमला बोला। उन्होंने कहा कि नीतीश कुमार सिर्फ सत्ता में बने रहना चाहते हैं। उन्होंने केंद्र सरकार का समर्थन किया,…

[ilyricshub]

Julia Lyrics - Ae Watan Mere Watan | Divya Kumar

Julia Lyrics - Ae Watan Mere Watan | Divya Kumar, Shashi #Julia #AeWatanMereWatan #DivyaKumar #Shashi #SaraAliKhan #PrashantIngole #ShashiSuman #KannanIyer

[uttarakhand-jagran]

उत्तराखंड कैडर के 6 सीनियर पीसीएस अफसर बने IAS

देहरादून: उत्तराखंड कैडर के 6 सीनियर पीसीएस अफसरों का आईएएस रेंक में प्रमोशन हो गया है।केंद्र सरकार से आदेश जारी हो गए है। भारतीय प्रशासनिक सेवा (भर्ती) नियम, 1954 के नियम 8(1) और भारतीय प्रशासनिक सेवा (पदोन्नति द्वारा नियुक्ति) विनियम, 1955 के नियम 9(1) और भारतीय प्रशासनिक के नियम 3 द्वारा प्रदत्त शक्तियों का प्रयोग सेवा (परिवीक्षा) नियमावली, 1954 के तहत, राष्ट्रपति उक्त विनियमावली के विनियम…

[akultalkies]

Nikunj Malik, Brijeshkumar Jha, Vivekanand Jha, Vijay Bansal, Madhavendra Jha, Amit Kashyap, Shivam Mishra, Rahul Kuriyal, Naman Kumar, Sushobhit Jha, Mangesh Kumar, Suresh Rimjhim, Shyam Shiva, Prashant Sharma, Lal Babu,

[shaktiknowledgeblog]

prashant kishor | prashant kishor news | bihar | Patna | nitish kumar | BJP | RJD | JDU | bihar CM

Nitish Kumar, who was made CM by Prashant Kishore himself, now why is he marching against him? Revealed in an exclusive conversation with Shakti knowledge Prashant Kishore said that I am not a leader and neither do I want to become a leader in future. Explaining about Jansuraj Yatra, he said that this yatra is not a campaign against any party or individual. Patna: There is hardly any person…

[breaking-news-portal]

'Age has an effect, give any statement' - Prashant Kishor's counterattack on Nitish Kumar's allegations

‘Age has an effect, give any statement’ – Prashant Kishor’s counterattack on Nitish Kumar’s allegations

Prashant Kishor On Nitish Kumar: The tussle between election strategist Prashant Kishor and Bihar Chief Minister Nitish Kumar continues. PK has now countered Nitish Kumar’s statement, in which he had accused PK that he wanted to merge JDU with Congress. PK took a jibe at Nitish and said that the effect of age is visible on him. He wants to say something and speak gives something. Prashant Kishor…

[biharkhabars]

दलाली नहीं किए हैं 10 साल, नीतीश को प्रशांत किशोर ने ललकारा; बोले- हार गए तो आकर मांगी मदद

    पीके ने लोगों से कहा कि अभी 10- 15 दिन पहले बुला कर नीतीश जी बोले कि हमारे साथ काम कीजिए। हमने कहा कि ये अब नहीं हो सकता। एक बार जो लोगों को वादा कर दिया है कि 3500 किलोमीटर चलकर,गांव-गांव में जाना है जन सुराज पद यात्रा के तीसरे दिन जमुनिया कैंप में स्थानीय लोगों से प्रशांत किशोर ने जन संवाद करते हुए विपक्ष और नीतीश कुमार पर बड़ा हमला बोला। अपने संबोधन में उन्होंने कहा कि किसी से आज तक पैसा…

[iimtcollege]

The two-day national conference concluded on Thursday at the IIMT College of Management, located in Knowledge Park. The seminar's main theme was "ICS: Semiconductor India 2024." Former CSIR-CEERI scientist Dr. SK Mahajan, co-founder of Auto NXT Pankaj Goyal, Registrar of AIPH University Dr. P Prashant, CEO Z Softlink founder and CEO Rohit Kumar, TDCOB India founder Pranay Upadhyay, and Corporate Innovation Tech Swadeshikaran's Sayan Ganguly were present. The guests were welcomed by college director Dr. Abhin Bakshi Bhatnagar. Dr. SK Mahajan said, "Today's world is nothing without electronics." The semiconductor is the heart of electronics. Five companies have been nominated for this in India. It has been told that two of these companies will be opened in Gujarat, two in Assam, and one in Kasna, Greater Noida.

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Call Us: 9520886860

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#IIMTIndia#IIMTian#IIMTNoida#IIMTGreaterNoida#IIMTDelhiNCR

[beardedmrbean]

LUCKNOW, India (AP) — Rescuers were digging through dirt and parts of a collapsed road tunnel Monday to reach 40 workers trapped by a landslide at the construction project in northern India.

All of the construction workers are safe, police officer Prashant Kumar said, adding that they have been supplied with oxygen and water. He said the rescuers had established contact with the trapped individuals.

The collapse occurred Sunday in Uttarakhand, a mountainous state dotted with Hindu temples that attracts many pilgrims and tourists.

Massive construction of buildings and roadways have taken place in recent years in Uttarakhand. The trapped workers were building part of the Chardham all-weather road, a flagship federal government project connecting various Hindu pilgrimage sites.

The number of workers trapped was confirmed Monday by Rajesh Pawar, the project manager at the Navyug Construction Company, which is overseeing the construction of the tunnel.

Rescue efforts began Sunday, with authorities pumping oxygen through a pipe into the collapsed section of the tunnel to help workers breathe.

“The team has progressed 15 meters (yards) into the tunnel, with an additional 35 meters (yards) yet to cover,” Kumar said, adding that more than 150 rescuers had used drilling equipment and excavators to clear debris through the night.

The collapsed portion of the 4.5-kilometer (2.7-mile) tunnel is about 200 meters (500 feet) from the entrance, officials told the Press Trust of India news agency.

In January, Uttarakhand state authorities moved hundreds of people to temporary shelters after a temple collapsed and cracks appeared in over 600 houses because of the sinking of land in and around Joshimath town in the region.

[drprashantkumar1]

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[aaastarztimes]

UPT20 League: Despite Losing, Rinku Singh की Team ने टॉप किया Table | IPL Captain की Team बाहर | Playoff Scenarios

UPT20 League: Despite Losing, Rinku Singh Team Tops the Table | IPL Captain's Team Exits | Playoff Scenarios

एक रोमांचक मोड़ में, Rinku Singh की Team, Meerut Max ने हाल ही में एक हार के बावजूद Uttar Pradesh T20 League (UPT20) में टॉप स्थान हासिल कर लिया है और Playoffs के लिए क्वालीफाई कर लिया है। Meerut के साथ ही Lucknow Falcons ने भी Playoff में अपनी जगह पक्की कर ली है। हालांकि, अन्य IPL Captains और उनकी Teams का सफर इतना अच्छा नहीं रहा, खासकर Noida जैसी Teams को काफी संघर्ष करना पड़ा। Tournament के Playoffs में प्रवेश के साथ ही अब रोमांचक मुकाबलों का दौर शुरू होने वाला है। दो महत्वपूर्ण Matches जिन्होंने Standings को आकार दिया UPT20 League ने हाल ही में दो महत्वपूर्ण Matches देखे—Match 28 और Match 29—जिन्होंने Playoff की स्थिति को काफी हद तक प्रभावित किया। अपने Match को हारने के बावजूद, Meerut Max ने Playoff के लिए क्वालीफाई किया, जिससे ये चर्चा शुरू हो गई कि लीग के कई बड़े खिलाड़ी, जिनमें IPL और Team India के सितारे शामिल थे, इन महत्वपूर्ण Games में क्यों नहीं खेले। Match 1: Kashi vs. Noida Match 28 में Kashi का सामना Noida से हुआ, जिसकी कप्तानी Aditya Sharma ने IPL की Kolkata Knight Riders के Captain Nitish Rana की जगह ली, जिन्हें इस Match में आराम दिया गया था। Kashi ने पहले बल्लेबाजी करते हुए 20 ओवर में 167/6 का ठोस स्कोर खड़ा किया, जिसमें Karan Sharma (69) और Prince Yadav (36) का अहम योगदान रहा। जवाब में, Noida की Team 18 ओवर में सिर्फ 88 रन ही बना सकी और इस हार के साथ Tournament से बाहर हो गई। इस हार के साथ Noida की Playoffs में पहुंचने की उम्मीदें खत्म हो गईं। Prashant Veer (21) और Shivam (20) ने Noida के लिए कुछ प्रयास किए, लेकिन Kashi की अनुशासित गेंदबाजी के सामने टिक नहीं पाए। Match 2: Meerut Max vs. Lucknow Falcons दूसरे Match में Lucknow का सामना Meerut Max से हुआ, जिसकी कप्तानी Madhav Kaushik ने की क्योंकि Rinku Singh को आराम दिया गया था क्योंकि Meerut पहले ही Playoff में पहुंच चुकी थी। पहले बल्लेबाजी करते हुए Meerut ने 20 ओवर में 122/9 का मामूली स्कोर खड़ा किया। Lucknow ने 123 रन का Target 17.3 ओवर में आसानी से पूरा कर लिया, जिसमें Samarth Singh (50) और Krita Gya Singh (35) का अहम योगदान रहा। इस जीत के साथ Lucknow ने Playoffs में अपनी जगह पक्की कर ली और अब Qualifier 1 में Meerut से एक बार फिर भिड़ेगी, जहां Meerut अपनी हार का बदला लेना चाहेगी और Final में सीधा प्रवेश करना चाहेगी। Playoff Scenario और Points Table League Stage खत्म होते ही, Meerut Max 16 Points के साथ Table में सबसे ऊपर है, जबकि Lucknow भी Playoffs में क्वालीफाई कर चुका है। Kashi फिलहाल 10 Points के साथ तीसरे स्थान पर है, जबकि Gorakhpur और Kanpur के पास 8 Points हैं। Run Rate भी एक निर्णायक कारक बनता जा रहा है, जिससे बाकी Teams के लिए Playoff की दौड़ और तेज हो गई है। Noida, हालांकि, League Stage में खराब प्रदर्शन के बाद आधिकारिक रूप से बाहर हो चुकी है। दूसरी ओर, Meerut, जिसने अब तक सिर्फ दो हार का सामना किया है, Rinku Singh की निरंतर कप्तानी के चलते Title की एक मजबूत दावेदार बनी हुई है। आगे का रास्ता: Qualifier 1 की भिड़ंत Meerut Max और Lucknow Falcons एक बार फिर Qualifier 1 में आमने-सामने होने वाले हैं, और इस महत्वपूर्ण Match पर सबकी नजरें टिकी होंगी। जो भी Team इस Match को जीतेगी, वह सीधा Final में पहुंचेगी, जिसमें IPL जैसा Playoff Format लागू है। यह दोनों Teams को एक बड़ा मौका देता है कि वे इतिहास बनाएं और UPT20 के पहले Season का खिताब अपने नाम करें। Meerut Max, जिसकी कप्तानी Rinku Singh ने शानदार तरीके से की है, पूरे Tournament में बेहतरीन फॉर्म में रही है। भले ही अपने पिछले Match में Captain मौजूद नहीं थे, Team अभी भी आत्मविश्वास से भरी हुई है। दूसरी ओर, Lucknow एक बार फिर से अपनी दमदार Performance दोहराने और Final में जगह ��नाने की कोशिश करेगी। UPT20 League अपने अंतिम चरण में प्रवेश कर रहा है, और दर्शक बेसब्री से इंतजार कर रहे हैं कि Meerut या Lucknow में से कौन बढ़त हासिल करेगा और Championship के करीब पहुंचेगा। Also Read: Paras Mhambrey ने fresh pace option की मांग की है, Arshdeep Singh और Mukesh Kumar को IND vs AUS Tests के लिए अलग रखा है। Read the full article

[samacharapp]

Railway Employee Accused Of Molesting Girl, Train Passengers Beat Him To Death

The employee was beaten to death aboard a train from Bihar's Barauni to New Delhi.

The employee was beaten to death aboard a train from Bihar's Barauni to New Delhi.

New Delhi:  A railway employee was beaten to death by a girl's family members and other passengers aboard a train to New Delhi early on Thursday after he allegedly sexually assaulted the 11-year-old, police said.

According to officials, a family from Siwan had boarded the Humsafar Express from Bihar's Barauni Bihar to New Delhi on Wednesday and, around 11.30 pm, Group D railway employee Prashant Kumar made a 11-year-old girl from the family sit on his seat. When the girl's mother went to the washroom later, Kumar allegedly molested the girl. 

As soon as the woman came out of the washroom, the girl ran to her, hugged her and began crying. She took her mother to the washroom and told her what had happened. The mother then informed her husband, father-in-law and other passengers in the M1 (AC III tier economy) coach on the train. 

The train had reached the Aishbagh junction in Lucknow when the angry passengers and family members caught hold of Kumar, took him to the area near the doors of the coach and thrashed him till the train reached Kanpur Central, which is about an hour and a half away. When the train rolled into Kanpur Central at 4.35 am on Thursday, officials from the Government Railway Police (GRP) took Kumar to a hospital, where he was declared brought dead, officials said. 

While the family of the girl filed a complaint of sexual assault, Kumar's family has filed a complaint of murder.

Kumar's uncle, Pawan, said the family, which lives in Samastpur village in Bihar's Muzaffarpur district, found out that he had been beaten to death after an official from the local police station informed them. 

"Prashant was not that kind of man. It seems he was killed as part of a conspiracy. He was beaten for so long, were there no personnel from the Railway Police Force around," he asked. 

Superintendent of Police, GRP (Prayagraj), Abhishek Yadav said, "When the train crossed Aishbagh, the girl said she had been molested. Her family members and other passengers beat up the accused. At Kanpur Central, the accused was handed over to the GRP and a complaint was filed. When he was taken to the hospital, he was declared dead."

News is originally taken from: https://bit.ly/3MNPCJm

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[djfloops]

Deva Ho Deva | Bappa Morya | Morya Morya | Jai Mangalmurti | Vishwavidhata | Ganpati Bappa Songs

ईश्वर के ऐसे अनेक मधुर प्यारे भजन, मंत्र आरतियां सुनने के लिए सब्सक्राइब करें : https://www.youtube.com/SaregamaBhakti Timestamp: 00:00 – Intro 5:19 – Deva Ho Deva 7:25 – Bappa Morya 13:47 – Mere Ganpati Shubh Labh Karein 16:22 – Morya Morya 19:41 – Jai Mangalmurti 23:07 – Vishwavidhata Credits:- Song: Deva Ho Deva Vocals: Prashant Kumar, Asha Bhosle, Mohammed Rafi, Sapan Chakraborty, Shailendra…

[akultalkies]

Anita Raj, Zarina Wahab, Vivek Anand Mishra, Kanchan Agnihotri, Prashant Rai, Lalit Parmoo, Sarwar Mir, Vaani Dogra, Mahima Gupta, Megha Joshi, Sachin Bhandari, Ismile Chaudhary, Avinash Kumar, Amir Ali Shaik

[chutneymusic]

Deva Ho Deva | Bappa Morya | Morya Morya | Jai Mangalmurti | Vishwavidhata | Ganpati Bappa Songs

ईश्वर के ऐसे अनेक मधुर प्यारे भजन, मंत्र आरतियां सुनने के लिए सब्सक्राइब करें : https://www.youtube.com/SaregamaBhakti Timestamp: 00:00 – Intro 5:19 – Deva Ho Deva 7:25 – Bappa Morya 13:47 – Mere Ganpati Shubh Labh Karein 16:22 – Morya Morya 19:41 – Jai Mangalmurti 23:07 – Vishwavidhata Credits:- Song: Deva Ho Deva Vocals: Prashant Kumar, Asha Bhosle, Mohammed Rafi, Sapan Chakraborty, Shailendra…

[drmikewatts]

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 8, August 2024

1) Memory Prompt for Spatiotemporal Transformer Visual Object Tracking

Author(s): Tianyang Xu;Xiao-Jun Wu;Xuefeng Zhu;Josef Kittler

Pages: 3759 - 3764

2) A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence

Author(s): Justus Renkhoff;Ke Feng;Marc Meier-Doernberg;Alvaro Velasquez;Houbing Herbert Song

Pages: 3765 - 3779

3) A Comprehensive Survey on Graph Summarization With Graph Neural Networks

Author(s): Nasrin Shabani;Jia Wu;Amin Beheshti;Quan Z. Sheng;Jin Foo;Venus Haghighi;Ambreen Hanif;Maryam Shahabikargar

Pages: 3780 - 3800

4) A Survey on Neural Network Hardware Accelerators

Author(s): Tamador Mohaidat;Kasem Khalil

Pages: 3801 - 3822

5) Efficient Structure Slimming for Spiking Neural Networks

Author(s): Yaxin Li;Xuanye Fang;Yuyuan Gao;Dongdong Zhou;Jiangrong Shen;Jian K. Liu;Gang Pan;Qi Xu

Pages: 3823 - 3831

6) A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems

Author(s): Prashant K. Gupta;Deepak Sharma;Javier Andreu-Perez

Pages: 3832 - 3844

7) Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Rajesh M. Hegde

Pages: 3845 - 3857

8) Additive Noise Model Structure Learning Based on Spatial Coordinates

Author(s): Jing Yang;Ting Lu;Youjie Zhu

Pages: 3858 - 3871

9) Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks

Author(s): Abdur R. Shahid;Ahmed Imteaj

Pages: 3872 - 3885

10) Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge

Author(s): Muhammad Zawish;Steven Davy;Lizy Abraham

Pages: 3886 - 3901

11) A Deep Learning-Based Cyber Intrusion Detection and Mitigation System for Smart Grids

Author(s): Abdulaziz Aljohani;Mohammad AlMuhaini;H. Vincent Poor;Hamed M. Binqadhi

Pages: 3902 - 3914

12) Proximal Policy Optimization With Advantage Reuse Competition

Author(s): Yuhu Cheng;Qingbang Guo;Xuesong Wang

Pages: 3915 - 3925

13) Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models

Author(s): Yogesh Kumar;Alexander Ilin;Henri Salo;Sangita Kulathinal;Maarit K. Leinonen;Pekka Marttinen

Pages: 3926 - 3938

14) quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method

Author(s): Snehanshu Saha;Jyotirmoy Sarkar;Soma S. Dhavala;Preyank Mota;Santonu Sarkar

Pages: 3939 - 3950

15) An Attention Augmented Convolution-Based Tiny-Residual UNet for Road Extraction

Author(s): Parmeshwar S. Patil;Raghunath S. Holambe;Laxman M. Waghmare

Pages: 3951 - 3964

16) Encoder–Decoder Calibration for Multimodal Machine Translation

Author(s): Turghun Tayir;Lin Li;Bei Li;Jianquan Liu;Kong Aik Lee

Pages: 3965 - 3973

17) Improving Source Tracking Accuracy Through Learning-Based Estimation Methods in SH Domain: A Comparative Study

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Devansh Kumar Jha;Rajesh M. Hegde

Pages: 3974 - 3984

18) Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

Author(s): Amirhossein Ravari;Seyede Fatemeh Ghoreishi;Mahdi Imani

Pages: 3985 - 4000

19) X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams

Author(s): Md Meftahul Ferdaus;Tanmoy Dam;Sameer Alam;Duc-Thinh Pham

Pages: 4001 - 4012

20) Focal Transfer Graph Network and Its Application in Cross-Scene Hyperspectral Image Classification

Author(s): Haoyu Wang;Xiaomin Liu

Pages: 4013 - 4025

21) An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection

Author(s): Kun Zhu;Nana Zhang;Weiping Ding;Changjun Jiang

Pages: 4026 - 4041

22) A New Causal Inference Framework for SAR Target Recognition

Author(s): Jiaxiang Liu;Zhunga Liu;Zuowei Zhang;Longfei Wang;Meiqin Liu

Pages: 4042 - 4057

23) Distributed Optimal Formation Control of Multiple Unmanned Surface Vehicles With Stackelberg Differential Graphical Game

Author(s): Kunting Yu;Yongming Li;Maolong Lv;Shaocheng Tong

Pages: 4058 - 4073

24) Boundary-Aware Uncertainty Suppression for Semi-Supervised Medical Image Segmentation

Author(s): Congcong Li;Jinshuo Zhang;Dongmei Niu;Xiuyang Zhao;Bo Yang;Caiming Zhang

Pages: 4074 - 4086

25) Deep Transfer Learning for Detecting Electric Vehicles Highly Correlated Energy Consumption Parameters

Author(s): Zeinab Teimoori;Abdulsalam Yassine;Chaoru Lu

Pages: 4087 - 4100

26) Self-Bidirectional Decoupled Distillation for Time Series Classification

Author(s): Zhiwen Xiao;Huanlai Xing;Rong Qu;Hui Li;Li Feng;Bowen Zhao;Jiayi Yang

Pages: 4101 - 4110

27) Context-Aware Self-Supervised Learning of Whole Slide Images

Author(s): Milan Aryal;Nasim Yahya Soltani

Pages: 4111 - 4120

28) CTRL: Clustering Training Losses for Label Error Detection

Author(s): Chang Yue;Niraj K. Jha

Pages: 4121 - 4135

29) Remote Sensing Image Semantic Segmentation Based on Cascaded Transformer

Author(s): Falin Wang;Jian Ji;Yuan Wang

Pages: 4136 - 4148

30) Text-Guided Portrait Image Matting

Author(s): Yong Xu;Xin Yao;Baoling Liu;Yuhui Quan;Hui Ji

Pages: 4149 - 4162

31) An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT

Author(s): Chong Ma;Zihao Wu;Jiaqi Wang;Shaochen Xu;Yaonai Wei;Zhengliang Liu;Fang Zeng;Xi Jiang;Lei Guo;Xiaoyan Cai;Shu Zhang;Tuo Zhang;Dajiang Zhu;Dinggang Shen;Tianming Liu;Xiang Li

Pages: 4163 - 4175

32) Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control

Author(s): Zilong Cheng;Jun Ma;Wenxin Wang;Zicheng Zhu;Clarence W. de Silva;Tong Heng Lee

Pages: 4176 - 4191

33) Adaptive Iterative Learning Control for Nonlinear Multiagent Systems With Initial Error Compensation

Author(s): Zhiqiang Li;Qi Zhou;Yang Liu;Hongru Ren;Hongyi Li

Pages: 4192 - 4201

34) Enhance Adversarial Robustness via Geodesic Distance

Author(s): Jun Yan;Huilin Yin;Ziming Zhao;Wancheng Ge;Jingfeng Zhang

Pages: 4202 - 4216

35) Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers

Author(s): Guilherme Dean Pelegrina;Sajid Siraj

Pages: 4217 - 4231

36) Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning

Author(s): Zunayed Mahmud;Paul Hungler;Ali Etemad

Pages: 4232 - 4246

37) Model-Based Online Adaptive Inverse Noncooperative Linear-Quadratic Differential Games via Finite-Time Concurrent Learning

Author(s): Jie Lin;Huai-Ning Wu

Pages: 4247 - 4257

38) Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks

Author(s): Muhammad Anwar Ma'sum;MD Rasel Sarkar;Mahardhika Pratama;Savitha Ramasamy;Sreenatha Anavatti;Lin Liu;Habibullah Habibullah;Ryszard Kowalczyk

Pages: 4258 - 4268

39) Distilled Gradual Pruning With Pruned Fine-Tuning

Author(s): Federico Fontana;Romeo Lanzino;Marco Raoul Marini;Danilo Avola;Luigi Cinque;Francesco Scarcello;Gian Luca Foresti

Pages: 4269 - 4279

40) Multiagent Hierarchical Deep Reinforcement Learning for Operation Optimization of Grid-Interactive Efficient Commercial Buildings

Author(s): Zhiqiang Chen;Liang Yu;Shuang Zhang;Shushan Hu;Chao Shen

Pages: 4280 - 4292

41) Feedback Generative Adversarial Network With Channel-Space Attention for Image-Based Optimal Path Search Planning

Author(s): Tao Sun;Jian-Sheng Li;Yi-Fan Zhang;Xin-Feng Ru;Ke Wang

Pages: 4293 - 4307